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Abhinav Shrivastava
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2020 – today
- 2024
- [j5]Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava:
Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. 6(6): 580-588 (2024) - [c101]Mara Levy, Abhinav Shrivastava:
V-VIPE: Variational View Invariant Pose Embedding. CVPR Workshops 2024: 1633-1642 - [c100]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 - [c99]Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava:
UVIS: Unsupervised Video Instance Segmentation. CVPR Workshops 2024: 2682-2692 - [c98]Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee:
MaGGIe: Masked Guided Gradual Human Instance Matting. CVPR 2024: 3870-3879 - [c97]Gaurav Shrivastava, Abhinav Shrivastava:
Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes. CVPR 2024: 7236-7245 - [c96]Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava:
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. CVPR 2024: 10957-10967 - [c95]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CVPR 2024: 13504-13514 - [c94]Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava:
Composing Object Relations and Attributes for Image-Text Matching. CVPR 2024: 14354-14363 - [c93]Nirat Saini, Khoi Pham, Abhinav Shrivastava:
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning. CVPR 2024: 14466-14476 - [c92]Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava:
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. ECCV (7) 2024: 110-128 - [c91]Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava:
Fast Encoding and Decoding for Implicit Video Representation. ECCV (39) 2024: 402-418 - [c90]Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. ECCV (36) 2024: 474-493 - [c89]Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava:
Video Decomposition Prior: Editing Videos Layer by Layer. ICLR 2024 - [c88]Mara Levy, Nirat Saini, Abhinav Shrivastava:
WayEx: Waypoint Exploration using a Single Demonstration. ICRA 2024: 15009-15016 - [c87]Archit Ramanasai Kambhamettu, Abhinav Shrivastava, Matthew Gwilliam:
Quantifying NBA Shot Quality: A Deep Network Approach. MMSports@MM 2024: 91-95 - [c86]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV 2024: 1506-1516 - [c85]Saksham Suri, Moustafa Meshry, Larry S. Davis, Abhinav Shrivastava:
GRIT: GAN Residuals for Paired Image-to-Image Translation. WACV 2024: 4953-4963 - [c84]Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava:
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. WACV 2024: 4964-4973 - [c83]Yixuan Ren, Jing Shi, Zhifei Zhang, Yifei Fan, Zhe Lin, Bo He, Abhinav Shrivastava:
Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks. WACV 2024: 5180-5189 - [c82]Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava:
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. WACV 2024: 5280-5290 - [i105]Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava:
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR abs/2401.10217 (2024) - [i104]Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava:
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. CoRR abs/2402.14780 (2024) - [i103]Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava:
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. CoRR abs/2403.14625 (2024) - [i102]Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein:
Measuring Style Similarity in Diffusion Models. CoRR abs/2404.01292 (2024) - [i101]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) - [i100]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR abs/2404.05726 (2024) - [i99]Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee:
MaGGIe: Masked Guided Gradual Human Instance Matting. CoRR abs/2404.16035 (2024) - [i98]Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava:
UVIS: Unsupervised Video Instance Segmentation. CoRR abs/2406.06908 (2024) - [i97]Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha:
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR abs/2406.10900 (2024) - [i96]Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava:
Composing Object Relations and Attributes for Image-Text Matching. CoRR abs/2406.11820 (2024) - [i95]Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava:
ARDuP: Active Region Video Diffusion for Universal Policies. CoRR abs/2406.13301 (2024) - [i94]Mara Levy, Abhinav Shrivastava:
V-VIPE: Variational View Invariant Pose Embedding. CoRR abs/2407.07092 (2024) - [i93]Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh:
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR abs/2407.10958 (2024) - [i92]Mara Levy, Nirat Saini, Abhinav Shrivastava:
WayEx: Waypoint Exploration using a Single Demonstration. CoRR abs/2407.15849 (2024) - [i91]Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR abs/2407.18249 (2024) - [i90]Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava:
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. CoRR abs/2408.02672 (2024) - [i89]Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava:
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation. CoRR abs/2409.06703 (2024) - [i88]Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava:
Fast Encoding and Decoding for Implicit Video Representation. CoRR abs/2409.19429 (2024) - 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) - [c81]Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. BMVC 2023: 620-621 - [c80]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 - [c79]Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava:
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CVPR 2023: 7486-7496 - [c78]Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava:
HNeRV: A Hybrid Neural Representation for Videos. CVPR 2023: 10270-10279 - [c77]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 - [c76]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 - [c75]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 - [c74]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 - [c73]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL 2023: 178-188 - [c72]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 - [c71]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV 2023: 4111-4122 - [c70]Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. ICCV 2023: 6747-6758 - [c69]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. ICCV 2023: 11195-11204 - [c68]Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. ICCV 2023: 15777-15788 - [c67]Sharath Girish, Abhinav Shrivastava, Kamal Gupta:
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. ICCV 2023: 17467-17478 - [c66]Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava:
Chop & Learn: Recognizing and Generating Object-State Compositions. ICCV 2023: 20190-20201 - [c65]Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR 2023 - [c64]Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava:
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. NeurIPS 2023 - [i87]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR abs/2302.07919 (2023) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava:
HNeRV: A Hybrid Neural Representation for Videos. CoRR abs/2304.02633 (2023) - [i81]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) - [i80]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) - [i79]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) - [i78]Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava:
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. CoRR abs/2308.09716 (2023) - [i77]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) - [i76]Sharath Girish, Abhinav Shrivastava, Kamal Gupta:
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. CoRR abs/2309.15848 (2023) - [i75]Matthew Walmer, Rose Catherine Kanjirathinkal, Kai Sheng Tai, Keyur Muzumdar, Tai-Peng Tian, Abhinav Shrivastava:
Multi-entity Video Transformers for Fine-Grained Video Representation Learning. CoRR abs/2311.10873 (2023) - [i74]Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava:
Do text-free diffusion models learn discriminative visual representations? CoRR abs/2311.17921 (2023) - [i73]Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran:
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR abs/2312.00115 (2023) - [i72]Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava:
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. CoRR abs/2312.01671 (2023) - [i71]Sharath Girish, Kamal Gupta, Abhinav Shrivastava:
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. CoRR abs/2312.04564 (2023) - [i70]Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava:
Gen2Det: Generate to Detect. CoRR abs/2312.04566 (2023) - [i69]Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava:
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. CoRR abs/2312.07835 (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]