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2020 – today
- 2023
[j4]Kyungjun Lee
, Abhinav Shrivastava, Hernisa Kacorri:
Leveraging Hand-Object Interactions in Assistive Egocentric Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6820-6831 (2023)- [c73]Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
Towards Scalable Neural Representation for Diverse Videos. CVPR 2023: 6132-6142 - [c72]Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava:
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CVPR 2023: 7486-7496 - [c71]Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava:
HNeRV: A Hybrid Neural Representation for Videos. CVPR 2023: 10270-10279 - [c70]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. CVPR 2023: 14378-14387 - [c69]Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava:
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CVPR 2023: 14518-14527 - [c68]Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang:
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CVPR 2023: 14867-14878 - [c67]Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis:
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CVPR 2023: 21118-21127 - [c66]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL 2023: 178-188 - [c65]Abhinav Shrivastava, Humza Naseer, Booi Kam, Yee Ling Boo, Kok-Leong Ong:
Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility. ECIS 2023 - [c64]Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR 2023 - [i79]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR abs/2302.07919 (2023) - [i78]Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang:
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CoRR abs/2303.07284 (2023) - [i77]Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
Towards Scalable Neural Representation for Diverse Videos. CoRR abs/2303.14124 (2023) - [i76]Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis:
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CoRR abs/2303.14368 (2023) - [i75]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR abs/2303.16201 (2023) - [i74]Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava:
HNeRV: A Hybrid Neural Representation for Videos. CoRR abs/2304.02633 (2023) - [i73]Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR abs/2304.05387 (2023) - [i72]Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava:
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CoRR abs/2305.17624 (2023) - [i71]Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava:
Diffusion Models Beat GANs on Image Classification. CoRR abs/2307.08702 (2023) - [i70]Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava:
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. CoRR abs/2308.09716 (2023) - [i69]Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava:
Chop & Learn: Recognizing and Generating Object-State Compositions. CoRR abs/2309.14339 (2023) - 2022
- [c63]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI 2022: 1314-1322 - [c62]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs:
Learning visual representations for transfer learning by suppressing texture. BMVC 2022: 300 - [c61]Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava:
CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC 2022: 510 - [c60]Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang:
ObjectFormer for Image Manipulation Detection and Localization. CVPR 2022: 2354-2363 - [c59]Matthew Gwilliam, Abhinav Shrivastava:
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CVPR 2022: 9632-9642 - [c58]Nirat Saini, Khoi Pham, Abhinav Shrivastava:
Disentangling Visual Embeddings for Attributes and Objects. CVPR 2022: 13648-13657 - [c57]Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava:
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CVPR 2022: 13915-13925 - [c56]Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha:
Dual-Key Multimodal Backdoors for Visual Question Answering. CVPR 2022: 15354-15364 - [c55]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. ECCV (25) 2022: 201-219 - [c54]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. ECCV (14) 2022: 267-284 - [c53]Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. ECCV (33) 2022: 404-422 - [c52]Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava:
Neural Space-Filling Curves. ECCV (7) 2022: 418-434 - [c51]Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. WACV 2022: 141-151 - [i68]Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava:
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. CoRR abs/2201.04620 (2022) - [i67]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022) - [i66]Vishnu Dutt Sharma, Jingxi Chen, Abhinav Shrivastava, Pratap Tokekar:
Occupancy Map Prediction for Improved Indoor Robot Navigation. CoRR abs/2203.04177 (2022) - [i65]Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song:
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR abs/2203.08130 (2022) - [i64]Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang:
ObjectFormer for Image Manipulation Detection and Localization. CoRR abs/2203.14681 (2022) - [i63]Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava:
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CoRR abs/2203.15187 (2022) - [i62]Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. CoRR abs/2204.02965 (2022) - [i61]Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava:
Neural Space-filling Curves. CoRR abs/2204.08453 (2022) - [i60]Nirat Saini, Khoi Pham, Abhinav Shrivastava:
Disentangling Visual Embeddings for Attributes and Objects. CoRR abs/2205.08536 (2022) - [i59]Matthew Gwilliam, Abhinav Shrivastava:
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CoRR abs/2206.08347 (2022) - [i58]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. CoRR abs/2208.06974 (2022) - [i57]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. CoRR abs/2211.03989 (2022) - [i56]Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava:
CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR abs/2211.10421 (2022) - [i55]Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava:
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CoRR abs/2212.03862 (2022) - [i54]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. CoRR abs/2212.14593 (2022) - 2021
- [c50]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. AAAI 2021: 15047-15052 - [c49]Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. BMVC 2021: 35 - [c48]Hao Chen, Abhinav Shrivastava:
HR-RCNN: Hierarchical Relational Reasoning for Object Detection. BMVC 2021: 269 - [c47]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. BMVC 2021: 292 - [c46]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CVPR 2021: 762-771 - [c45]Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava:
StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. CVPR 2021: 3712-3721 - [c44]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR 2021: 6155-6164 - [c43]Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava:
Learning Graphs for Knowledge Transfer With Limited Labels. CVPR 2021: 11151-11161 - [c42]Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava:
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR 2021: 12146-12155 - [c41]Ahmed Taha, Abhinav Shrivastava, Larry S. Davis:
Knowledge Evolution in Neural Networks. CVPR 2021: 12843-12852 - [c40]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning To Predict Visual Attributes in the Wild. CVPR 2021: 13018-13028 - [c39]Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV 2021: 984-994 - [c38]Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim:
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. ICCV 2021: 8886-8896 - [c37]Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. ICCV 2021: 9133-9143 - [c36]Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava:
Learned Spatial Representations for Few-shot Talking-Head Synthesis. ICCV 2021: 13809-13818 - [c35]Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava:
Towards Discovery and Attribution of Open-world GAN Generated Images. ICCV 2021: 14074-14083 - [c34]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW 2021: 2357-2367 - [c33]Gaurav Shrivastava, Abhinav Shrivastava:
Diverse Video Generation using a Gaussian Process Trigger. ICLR 2021 - [c32]Mara Levy, Vasista Ayyagari, Abhinav Shrivastava:
No-frills Dynamic Planning using Static Planners. ICRA 2021: 2005-2011 - [c31]Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
NeRV: Neural Representations for Videos. NeurIPS 2021: 21557-21568 - [c30]Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Yasanga Jayasundara Magalle Hewa, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. NeurIPS 2021: 26015-26027 - [i53]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i52]Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis:
SVMax: A Feature Embedding Regularizer. CoRR abs/2103.02770 (2021) - [i51]Ahmed Taha, Abhinav Shrivastava, Larry Davis:
Knowledge Evolution in Neural Networks. CoRR abs/2103.05152 (2021) - [i50]Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava:
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis. CoRR abs/2104.07098 (2021) - [i49]Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava:
Learned Spatial Representations for Few-shot Talking-Head Synthesis. CoRR abs/2104.14557 (2021) - [i48]Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR abs/2105.01652 (2021) - [i47]Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava:
Towards Discovery and Attribution of Open-world GAN Generated Images. CoRR abs/2105.04580 (2021) - [i46]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. CoRR abs/2106.00168 (2021) - [i45]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning to Predict Visual Attributes in the Wild. CoRR abs/2106.09707 (2021) - [i44]Mara Levy, Vasista Ayyagari, Abhinav Shrivastava:
No-frills Dynamic Planning using Static Planners. CoRR abs/2106.09714 (2021) - [i43]Gaurav Shrivastava, Abhinav Shrivastava:
Diverse Video Generation using a Gaussian Process Trigger. CoRR abs/2107.04619 (2021) - [i42]Hao Chen, Abhinav Shrivastava:
HR-RCNN: Hierarchical Relational Reasoning for Object Detection. CoRR abs/2110.13892 (2021) - [i41]Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava:
NeRV: Neural Representations for Videos. CoRR abs/2110.13903 (2021) - [i40]Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
A Frequency Perspective of Adversarial Robustness. CoRR abs/2111.00861 (2021) - [i39]Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. CoRR abs/2111.01785 (2021) - [i38]Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. CoRR abs/2112.04345 (2021) - [i37]Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha:
Dual-Key Multimodal Backdoors for Visual Question Answering. CoRR abs/2112.07668 (2021) - 2020
- [j3]Michelle Tang, Pulkit Kumar, Hao Chen, Abhinav Shrivastava:
Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. J. Imaging 6(6): 47 (2020) - [c29]Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. 3DV 2020: 71-80 - [c28]Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Depth Completion Using a View-constrained Deep Prior. 3DV 2020: 723-733 - [c27]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. AAAI 2020: 10460-10469 - [c26]Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis:
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI 2020: 13058-13065 - [c25]Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
PatchVAE: Learning Local Latent Codes for Recognition. CVPR 2020: 4745-4754 - [c24]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. ECCV (8) 2020: 293-309 - [c23]Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava:
Curriculum Manager for Source Selection in Multi-source Domain Adaptation. ECCV (14) 2020: 608-624 - [c22]Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. ECCV (17) 2020: 734-750 - [c21]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-End Learning of Compressible Features. ICIP 2020: 3349-3353 - [c20]Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava:
Scalable Model Compression by Entropy Penalized Reparameterization. ICLR 2020 - [c19]Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Boosting Standard Classification Architectures Through a Ranking Regularizer. WACV 2020: 747-755 - [c18]Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri:
Hand-Priming in Object Localization for Assistive Egocentric Vision. WACV 2020: 3411-3421 - [i36]Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Deep Depth Prior for Multi-View Stereo. CoRR abs/2001.07791 (2020) - [i35]Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri:
Hand-Priming in Object Localization for Assistive Egocentric Vision. CoRR abs/2002.12557 (2020) - [i34]Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
PatchVAE: Learning Local Latent Codes for Recognition. CoRR abs/2004.03623 (2020) - [i33]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Spatial Priming for Detecting Human-Object Interactions. CoRR abs/2004.04851 (2020) - [i32]Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. CoRR abs/2004.09320 (2020) - [i31]Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
Layout Generation and Completion with Self-attention. CoRR abs/2006.14615 (2020) - [i30]Hao Chen, Abhinav Shrivastava:
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet. CoRR abs/2007.00649 (2020) - [i29]Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava:
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. CoRR abs/2007.01261 (2020) - [i28]Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. CoRR abs/2007.09748 (2020) - [i27]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-end Learning of Compressible Features. CoRR abs/2007.11797 (2020) - [i26]Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim:
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR abs/2007.12684 (2020) - [i25]Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava:
All About Knowledge Graphs for Actions. CoRR abs/2008.12432 (2020) - [i24]Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. CoRR abs/2009.03298 (2020) - [i23]Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose And Joint-Aware Action Recognition. CoRR abs/2010.08164 (2020) - [i22]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs:
Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR abs/2011.01901 (2020) - [i21]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating Compression Defects in Deep Learning. CoRR abs/2011.08932 (2020) - [i20]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR abs/2012.04226 (2020) - [i19]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CoRR abs/2012.04643 (2020) - [i18]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. CoRR abs/2012.08510 (2020) - [i17]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CoRR abs/2012.14950 (2020)
2010 – 2019
- 2019
- [c17]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283 - [c16]Saurabh Singh, Abhinav Shrivastava:
EvalNorm: Estimating Batch Normalization Statistics for Evaluation. ICCV 2019: 3632-3640 - [c15]