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ORCIDJosé M. Álvarez 0004
José Manuel Álvarez 0001
Person information
- affiliation: NVIDIA, Santa Clara, CA, USA
- affiliation (former): Toyota Research Institute (TRI), Mountain View, CA, USA
- affiliation (former): CSIRO, Data61, Australia
- affiliation (former): NICTA, Computer Vision Research Laboratory, Canberra, ACT, Australia
- affiliation (former): New York University, Courant Institute of Mathematical Sciences, New York, NY, USA
- affiliation (former, PhD 2010): Autonomous University of Barcelona, Computer Vision Center, Barcelona, Spain
Other persons with the same name
- José M. Álvarez (aka: Jose M. Alvarez) — disambiguation page
- José María Álvarez 0001
![[0000-0003-1668-6054]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1668-6054")
(aka: José María Álvarez Rodríguez, José M. Álvarez 0001) — Carlos III University of Madrid, Spain - José M. Álvarez 0002 (aka: José Manuel Álvarez Colmenares) — KU Leuven, Belgium (and 2 more)
- José M. Álvarez 0003 — University of Málaga, Málaga, Spain
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2020 – today
- 2025
[c96]Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez:
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. KDD (1) 2025: 2525-2535- [c95]Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez:
Advancing Weight and Channel Sparsification with Enhanced Saliency. WACV 2025: 7244-7255 - [i81]Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu:
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. CoRR abs/2501.14818 (2025) - [i80]Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez:
Advancing Weight and Channel Sparsification with Enhanced Saliency. CoRR abs/2502.03658 (2025) - [i79]Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez:
Enhancing Autonomous Driving Safety with Collision Scenario Integration. CoRR abs/2503.03957 (2025) - [i78]Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez:
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. CoRR abs/2503.11650 (2025) - [i77]Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, José M. Álvarez:
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training. CoRR abs/2503.12030 (2025) - [i76]Kailin Li, Zhenxin Li, Shiyi Lan, Yuan Xie, Zhizhong Zhang, Jiayi Liu, Zuxuan Wu, Zhiding Yu, José M. Álvarez:
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation. CoRR abs/2503.12820 (2025) - [i75]Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng:
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. CoRR abs/2503.14492 (2025) - 2024
- [c94]Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar:
What is Point Supervision Worth in Video Instance Segmentation? CVPR Workshops 2024: 2671-2681 - [c93]Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu:
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. CVPR 2024: 10446-10455 - [c92]Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez:
Improving Distant 3D Object Detection Using 2D Box Supervision. CVPR 2024: 14853-14863 - [c91]Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez:
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CVPR 2024: 14864-14873 - [c90]Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu:
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. CVPR 2024: 20113-20123 - [c89]Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang:
SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation. ECCV (38) 2024: 203-220 - [c88]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. ICLR 2024 - [c87]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR 2024 - [c86]Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez:
SF3D: SlowFast Temporal 3D Object Detection. IV 2024: 1280-1285 - [c85]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. NeurIPS 2024 - [i74]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. CoRR abs/2401.03844 (2024) - [i73]Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez:
Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR abs/2403.09230 (2024) - [i72]Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar:
What is Point Supervision Worth in Video Instance Segmentation? CoRR abs/2404.01990 (2024) - [i71]Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu:
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. CoRR abs/2404.14908 (2024) - [i70]Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez:
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. CoRR abs/2405.01533 (2024) - [i69]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i68]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez:
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR abs/2406.04484 (2024) - [i67]Zhenxin Li, Kailin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Yishen Ji, Zhiqi Li, Ziyue Zhu, Jan Kautz, Zuxuan Wu, Yu-Gang Jiang, José M. Álvarez:
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation. CoRR abs/2406.06978 (2024) - [i66]Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez:
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint. CoRR abs/2406.12079 (2024) - [i65]Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez:
Exploring Camera Encoder Designs for Autonomous Driving Perception. CoRR abs/2407.07276 (2024) - [i64]Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez:
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. CoRR abs/2409.13860 (2024) - [i63]Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez:
Uncertainty Estimation for 3D Object Detection via Evidential Learning. CoRR abs/2410.23910 (2024) - [i62]Alberto Gonzalo Rodriguez Salgado, Maying Shen, Philipp Harzig, Peter Mayer, José M. Álvarez:
Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers. CoRR abs/2412.01941 (2024) - [i61]Jihao Liu, Zhiding Yu, Shiyi Lan, Shihao Wang, Rongyao Fang, Jan Kautz, Hongsheng Li, José M. Álvarez:
StreamChat: Chatting with Streaming Video. CoRR abs/2412.08646 (2024) - 2023
- [c84]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. CVPR 2023: 9087-9098 - [c83]Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR 2023: 18633-18642 - [c82]Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar:
Vision Transformers are Good Mask Auto-Labelers. CVPR 2023: 23745-23755 - [c81]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. ICCV 2023: 5562-5572 - [c80]Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez:
FB-BEV: BEV Representation from Forward-Backward View Transformations. ICCV 2023: 6896-6905 - [c79]Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez:
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. ICCV 2023: 8360-8371 - [c78]Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez:
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View. ICCV 2023: 8449-8458 - [c77]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV 2023: 8481-8490 - [c76]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. IV 2023: 1-8 - [c75]Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez:
Hardware-Aware Latency Pruning for Real-Time 3D Object Detection. IV 2023: 1-6 - [i60]Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar:
Vision Transformers Are Good Mask Auto-Labelers. CoRR abs/2301.03992 (2023) - [i59]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR abs/2302.12251 (2023) - [i58]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR abs/2306.06189 (2023) - [i57]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR abs/2306.14306 (2023) - [i56]Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez:
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. CoRR abs/2307.01492 (2023) - [i55]Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez:
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View. CoRR abs/2307.04106 (2023) - [i54]Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez:
FB-BEV: BEV Representation from Forward-Backward View Transformations. CoRR abs/2308.02236 (2023) - [i53]Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez:
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. CoRR abs/2308.04556 (2023) - [i52]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR abs/2309.05192 (2023) - [i51]Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang:
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation. CoRR abs/2311.14671 (2023) - [i50]Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu:
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. CoRR abs/2312.01696 (2023) - [i49]Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez:
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CoRR abs/2312.03031 (2023) - 2022
- [j21]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4748-4760 (2022) - [j20]Yigong Zhang, Jin Xie, José M. Álvarez, Cheng-Zhong Xu, Jian Yang, Hui Kong:
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 13819-13834 (2022) - [j19]Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 14741-14752 (2022) - [c74]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung:
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC 2022: 230 - [c73]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c72]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo, Tong Lu:
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. CVPR 2022: 1270-1279 - [c71]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CVPR 2022: 8616-8624 - [c70]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR 2022: 10799-10808 - [c69]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CVPR 2022: 12237-12246 - [c68]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CVPR 2022: 14156-14166 - [c67]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez:
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR 2022: 14472-14481 - [c66]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) 2022: 84-98 - [c65]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) 2022: 641-657 - [c64]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c63]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. IV 2022: 766-771 - [c62]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [c61]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. NeurIPS 2022 - [i48]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CoRR abs/2202.12181 (2022) - [i47]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i46]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i45]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CoRR abs/2205.03783 (2022) - [i44]Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR abs/2205.14971 (2022) - [i43]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i42]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. CoRR abs/2207.01778 (2022) - [i41]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - [i40]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. CoRR abs/2210.06659 (2022) - [i39]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. CoRR abs/2211.02206 (2022) - 2021
- [c60]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Self-Supervised Learning of Depth Inference for Multi-View Stereo. CVPR 2021: 7526-7534 - [c59]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [c58]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See Through Gradients: Image Batch Recovery via GradInversion. CVPR 2021: 16337-16346 - [c57]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV 2021: 10244-10253 - [c56]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. ICLR 2021 - [c55]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. ICLR 2021 - [c54]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472 - [c53]Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. IV 2021: 540-545 - [c52]Shuxuan Guo, José M. Álvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. NeurIPS 2021: 1036-1047 - [c51]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. NeurIPS 2021: 12077-12090 - [c50]Akshay Chawla, Hongxu Yin, Pavlo Molchanov, José M. Álvarez:
Data-free Knowledge Distillation for Object Detection. WACV 2021: 3288-3297 - [i38]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR abs/2103.16130 (2021) - [i37]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. CoRR abs/2104.02290 (2021) - [i36]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Self-supervised Learning of Depth Inference for Multi-view Stereo. CoRR abs/2104.02972 (2021) - [i35]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021) - [i34]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. CoRR abs/2104.07586 (2021) - [i33]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. CoRR abs/2105.15203 (2021) - [i32]Shuxuan Guo, José M. Álvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. CoRR abs/2106.05209 (2021) - [i31]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez:
Towards Reducing Labeling Cost in Deep Object Detection. CoRR abs/2106.11921 (2021) - [i30]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - [i29]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Tong Lu, Ping Luo:
Panoptic SegFormer. CoRR abs/2109.03814 (2021) - [i28]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
HALP: Hardware-Aware Latency Pruning. CoRR abs/2110.10811 (2021) - [i27]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CoRR abs/2110.12007 (2021) - [i26]Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. CoRR abs/2111.09797 (2021) - [i25]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR abs/2112.07658 (2021) - 2020
- [j18]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition Using EMOTIC Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2755-2766 (2020) - [c49]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CVPR 2020: 4876-4885 - [c48]Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c47]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. IV 2020: 1430-1435 - [c46]Shuxuan Guo, José M. Álvarez, Mathieu Salzmann:
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. NeurIPS 2020 - [c45]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. WACV 2020: 2009-2018 - [i24]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition using EMOTIC Dataset. CoRR abs/2003.13401 (2020) - [i23]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. CoRR abs/2004.04699 (2020) - [i22]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [j17]Yingna Su, Yicheng Gao, Yigong Zhang, José M. Álvarez, Jian Yang, Hui Kong:
An Illumination-Invariant Nonparametric Model for Urban Road Detection. IEEE Trans. Intell. Veh. 4(1): 14-23 (2019) - [j16]Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, José M. Álvarez, Hui Kong:
Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model. IEEE Trans. Veh. Technol. 68(12): 11635-11645 (2019) - [c44]Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. ICCV Workshops 2019: 2980-2988 - [c43]Shuo Gu, Yigong Zhang, Jian Yang, José M. Álvarez, Hui Kong:
Two-View Fusion based Convolutional Neural Network for Urban Road Detection. IROS 2019: 6144-6149 - [c42]Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, José M. Álvarez, Rafael Barea:
Bridging the Day and Night Domain Gap for Semantic Segmentation. IV 2019: 1312-1318 - [i21]Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR abs/1905.12737 (2019) - [i20]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. CoRR abs/1907.11821 (2019) - [i19]Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. CoRR abs/1909.04485 (2019) - [i18]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CoRR abs/1912.08329 (2019) - [i17]Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR abs/1912.08795 (2019) - 2018
- [j15]Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, José M. Álvarez, Umapada Pal:
Frame selection for OCR from video stream of book flipping. Multim. Tools Appl. 77(1): 985-1008 (2018) - [j14]Zhongyu Lou, Fares Alnajar, José M. Álvarez, Ninghang Hu, Theo Gevers:
Expression-Invariant Age Estimation Using Structured Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 365-375 (2018) - [j13]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [j12]Qi Wang, Luis Miguel Bergasa, José M. Álvarez:
Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. 19(1): 129-130 (2018) - [j11]Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo:
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 19(1): 263-272 (2018) - [j10]Shuo Gu, Tao Lu, Yigong Zhang, José M. Álvarez, Jian Yang, Hui Kong:
3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection. IEEE Trans. Intell. Veh. 3(3): 351-360 (2018) - [j9]Mingmei Cheng, Yigong Zhang, Yingna Su, José M. Álvarez, Hui Kong:
Curb Detection for Road and Sidewalk Detection. IEEE Trans. Veh. Technol. 67(11): 10330-10342 (2018) - [c41]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) 2018: 86-103 - [c40]Yigong Zhang, Shuo Gu, Jian Yang, José M. Álvarez, Hui Kong:
Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection. Intelligent Vehicles Symposium 2018: 579-584 - [c39]Eduardo Romera, Luis Miguel Bergasa, José M. Álvarez, Mohan M. Trivedi:
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium 2018: 1828-1833 - [i16]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR abs/1807.06132 (2018) - [i15]Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. CoRR abs/1811.02640 (2018) - [i14]Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. CoRR abs/1811.03575 (2018) - [i13]Shuxuan Guo, José M. Álvarez, Mathieu Salzmann:
ExpandNets: Exploiting Linear Redundancy to Train Small Networks. CoRR abs/1811.10495 (2018) - 2017
- [c38]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Emotion Recognition in Context. CVPR 2017: 1960-1968 - [c37]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
EMOTIC: Emotions in Context Dataset. CVPR Workshops 2017: 2309-2317 - [c36]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV 2017: 2125-2135 - [c35]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c34]Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo:
Efficient ConvNet for real-time semantic segmentation. Intelligent Vehicles Symposium 2017: 1789-1794 - [c33]Mohammad Ali Armin, Nick Barnes, José M. Álvarez, Hongdong Li, Florian Grimpen, Olivier Salvado:
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). CARE/CLIP@MICCAI 2017: 50-59 - [c32]José M. Álvarez, Mathieu Salzmann:
Compression-aware Training of Deep Networks. NIPS 2017: 856-867 - [c31]Yingna Su, Yigong Zhang, José M. Álvarez, Hui Kong:
An illumination-invariant nonparametric model for urban road detection using monocular camera and single-line lidar. ROBIO 2017: 68-73 - [i12]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR abs/1706.02189 (2017) - [i11]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR abs/1708.04400 (2017) - [i10]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - [i9]José M. Álvarez, Mathieu Salzmann:
Compression-aware Training of Deep Networks. CoRR abs/1711.02638 (2017) - 2016
- [j8]Lachlan Horne, José M. Álvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes:
Semantic labeling for prosthetic vision. Comput. Vis. Image Underst. 149: 113-125 (2016) - [j7]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Exploiting Large Image Sets for Road Scene Parsing. IEEE Trans. Intell. Transp. Syst. 17(9): 2456-2465 (2016) - [j6]Germán Ros, José M. Álvarez, Julio Guerrero:
Motion Estimation via Robust Decomposition With Constrained Rank. IEEE Trans. Intell. Veh. 1(4): 346-357 (2016) - [c30]Prithviraj Dhar, José M. Álvarez, Partha Pratim Roy:
Efficient Framework for Action Recognition Using Reduced Fisher Vector Encoding. CVIP (2) 2016: 343-354 - [c29]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) 2016: 413-432 - [c28]Gucan Long, Laurent Kneip, José M. Álvarez, Hongdong Li, Xiaohu Zhang, Qifeng Yu:
Learning Image Matching by Simply Watching Video. ECCV (6) 2016: 434-450 - [c27]Shahin Rahmatollahi Namin, José M. Álvarez, Laurent Kneip, Lars Petersson:
Latent structural SVM with marginal probabilities for weakly labeled structured learning. ICIP 2016: 3733-3737 - [c26]Shahin Rahmatollahi Namin, José M. Álvarez, Lars Petersson:
2D-3D semantic segmentation using cardinality as higher-order loss. ICPR 2016: 3775-3780 - [c25]José M. Álvarez, Mathieu Salzmann:
Learning the Number of Neurons in Deep Networks. NIPS 2016: 2262-2270 - [c24]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Efficient transductive semantic segmentation. WACV 2016: 1-9 - [i8]Gucan Long, Laurent Kneip, José M. Álvarez, Hongdong Li:
Learning Image Matching by Simply Watching Video. CoRR abs/1603.06041 (2016) - [i7]José M. Álvarez, Lars Petersson:
DecomposeMe: Simplifying ConvNets for End-to-End Learning. CoRR abs/1606.05426 (2016) - [i6]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR abs/1609.00446 (2016) - [i5]José M. Álvarez, Mathieu Salzmann:
Learning the Number of Neurons in Deep Networks. CoRR abs/1611.06321 (2016) - [i4]Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez:
Invertible Conditional GANs for image editing. CoRR abs/1611.06355 (2016) - 2015
- [c23]Germán Ros, José M. Álvarez:
Unsupervised image transformation for outdoor semantic labelling. Intelligent Vehicles Symposium 2015: 537-542 - [c22]Lachlan Horne, José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Efficient scene parsing by sampling unary potentials in a fully-connected CRF. Intelligent Vehicles Symposium 2015: 820-825 - 2014
- [j5]José M. Álvarez, Antonio M. López, Theo Gevers, Felipe Lumbreras:
Combining Priors, Appearance, and Context for Road Detection. IEEE Trans. Intell. Transp. Syst. 15(3): 1168-1178 (2014) - [c21]Fares Alnajar, Zhongyu Lou, José M. Álvarez, Theo Gevers:
Expression-Invariant Age Estimation. BMVC 2014 - [c20]Hailing Zhou, Hui Kong, José M. Álvarez, Douglas C. Creighton, Saeid Nahavandi:
Fast road detection and tracking in aerial videos. Intelligent Vehicles Symposium 2014: 712-718 - [c19]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Large-scale semantic co-labeling of image sets. WACV 2014: 501-508 - [c18]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Data-driven road detection. WACV 2014: 1134-1141 - [i3]Germán Ros, José M. Álvarez, Julio Guerrero:
Motion Estimation via Robust Decomposition with Constrained Rank. CoRR abs/1410.6126 (2014) - [i2]José M. Álvarez, Ferran Diego, Joan Serrat, Antonio M. López:
Road Detection via On-line Label Transfer. CoRR abs/1412.3159 (2014) - [i1]José M. Álvarez, Theo Gevers, Antonio M. López:
Road Detection by One-Class Color Classification: Dataset and Experiments. CoRR abs/1412.3506 (2014) - 2013
- [j4]José M. Álvarez, Theo Gevers, Ferran Diego, Antonio M. López:
Road Geometry Classification by Adaptive Shape Models. IEEE Trans. Intell. Transp. Syst. 14(1): 459-468 (2013) - [c17]Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal:
OCR from Video Stream of Book Flipping. ACPR 2013: 130-134 - [c16]José M. Álvarez, Theo Gevers, Antonio M. López:
Evaluating Color Representations for On-Line Road Detection. ICCV Workshops 2013: 594-599 - [c15]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Learning appearance models for road detection. Intelligent Vehicles Symposium 2013: 423-429 - [c14]Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal:
Duplicate open page removal from video stream of book flipping. NCVPRIPG 2013: 1-4 - 2012
- [c13]José M. Álvarez, Theo Gevers, Yann LeCun, Antonio M. López:
Road Scene Segmentation from a Single Image. ECCV (7) 2012: 376-389 - [c12]José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López:
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. ECCV Workshops (2) 2012: 586-595 - [c11]José M. Álvarez, Felipe Lumbreras, Antonio M. López, Theo Gevers:
Understanding Road Scenes Using Visual Cues and GPS Information. ECCV Workshops (3) 2012: 635-638 - 2011
- [j3]José M. Álvarez, Antonio M. López:
Road Detection Based on Illuminant Invariance. IEEE Trans. Intell. Transp. Syst. 12(1): 184-193 (2011) - [j2]Fadi Dornaika, José M. Álvarez, Angel Domingo Sappa, Antonio M. López:
A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration. IEEE Trans. Intell. Transp. Syst. 12(4): 954-966 (2011) - 2010
- [j1]José M. Álvarez, Theo Gevers, Antonio M. López:
Learning Photometric Invariance for Object Detection. Int. J. Comput. Vis. 90(1): 45-61 (2010) - [c10]José M. Álvarez, Theo Gevers, Antonio M. López:
3D Scene priors for road detection. CVPR 2010: 57-64 - [c9]Ferran Diego, José M. Álvarez, Joan Serrat, Antonio M. López:
Vision-based road detection via on-line video registration. ITSC 2010: 1135-1140 - [c8]José M. Álvarez, Felipe Lumbreras, Theo Gevers, Antonio M. López:
Geographic information for vision-based road detection. Intelligent Vehicles Symposium 2010: 621-626
2000 – 2009
- 2009
- [c7]José M. Álvarez, Theo Gevers, Antonio M. López:
Learning photometric invariance from diversified color model ensembles. CVPR 2009: 565-572 - [c6]José M. Álvarez, Theo Gevers, Antonio M. López:
Vision-based road detection using road models. ICIP 2009: 2073-2076 - [c5]José M. Álvarez, Ferran Diego, Antonio M. López, Joan Serrat, Daniel Ponsa:
Automatic ground-truthing using video registration for on-board detection algorithms. ICIP 2009: 4389-4392 - 2008
- [c4]José M. Álvarez, Antonio M. López:
Novel Index for Objective Evaluation of Road Detection Algorithms. ITSC 2008: 815-820 - 2007
- [c3]José M. Álvarez, Antonio M. López, Ramon Baldrich:
Shadow Resistant Road Segmentation from a Mobile Monocular System. IbPRIA (2) 2007: 9-16 - [c2]Joan Serrat, Ferran Diego, Felipe Lumbreras, José Manuel Álvarez:
Synchronization of Video Sequences from Free-Moving Cameras. IbPRIA (2) 2007: 620-627 - [c1]Joan Serrat, Ferran Diego, Felipe Lumbreras, José Manuel Álvarez:
Alignment of videos recorded from moving vehicles. ICIAP 2007: 512-517
Coauthor Index
Mohammad Sadegh Ali Akbarian
aka: Mohammad Sadegh Aliakbarian
aka: Mohammad Sadegh Aliakbarian
Anima Anandkumar
aka: Animashree Anandkumar
aka: Animashree Anandkumar
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