Abhinav Shrivastava

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 184

Top Venues

Publications

Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. CoRR (2024)
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)
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 (2024)
Mara Levy, Nirat Saini, Abhinav Shrivastava
WayEx: Waypoint Exploration using a Single Demonstration. CoRR (2024)
Mara Levy, Abhinav Shrivastava
V-VIPE: Variational View Invariant Pose Embedding. CoRR (2024)
Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. WACV (2024)
Mara Levy, Nirat Saini, Abhinav Shrivastava
WayEx: Waypoint Exploration using a Single Demonstration. ICRA (2024)
Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. WACV (2024)
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 (2024)
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 (2024)
Saksham Suri, Moustafa Meshry, Larry S. Davis, Abhinav Shrivastava
GRIT: GAN Residuals for Paired Image-to-Image Translation. WACV (2024)
Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR (2024)
Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava
Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. 6 (6) (2024)
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)
Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
Composing Object Relations and Attributes for Image-Text Matching. CoRR (2024)
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 (2024)
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
Video Decomposition Prior: Editing Videos Layer by Layer. ICLR (2024)
Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
UVIS: Unsupervised Video Instance Segmentation. CoRR (2024)
Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee
MaGGIe: Masked Guided Gradual Human Instance Matting. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein
Measuring Style Similarity in Diffusion Models. CoRR (2024)
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 (2023)
Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CoRR (2023)
Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. ICCV (2023)
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 (2023)
Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CVPR (2023)
Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
Leveraging Hand-Object Interactions in Assistive Egocentric Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR (2023)
Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR (2023)
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 (2023)
Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. ICCV (2023)
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 (2023)
Sharath Girish, Abhinav Shrivastava, Kamal Gupta
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. CoRR (2023)
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
HNeRV: A Hybrid Neural Representation for Videos. CVPR (2023)
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)
Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
Chop & Learn: Recognizing and Generating Object-State Compositions. CoRR (2023)
Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR (2023)
Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
Chop & Learn: Recognizing and Generating Object-State Compositions. ICCV (2023)
Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. CoRR (2023)
Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
Diffusion Models Beat GANs on Image Classification. CoRR (2023)
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
HNeRV: A Hybrid Neural Representation for Videos. CoRR (2023)
Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CVPR (2023)
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)
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR (2023)
Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava
Gen2Det: Generate to Detect. CoRR (2023)
Sharath Girish, Abhinav Shrivastava, Kamal Gupta
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. ICCV (2023)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. ICCV (2023)
Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CVPR (2023)
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. CoRR (2023)
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)
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 (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV (2023)
Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. CoRR (2023)
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)
Sharath Girish, Kamal Gupta, Abhinav Shrivastava
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. CoRR (2023)
Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL (2023)
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)
Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. NeurIPS (2023)
Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang
Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CoRR (2023)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. CoRR (2022)
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI (2022)
Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
Learning Semantic Correspondence with Sparse Annotations. ECCV (14) (2022)
Nirat Saini, Khoi Pham, Abhinav Shrivastava
Disentangling Visual Embeddings for Attributes and Objects. CoRR (2022)
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)
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC (2022)
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR (2022)
Matthew Gwilliam, Abhinav Shrivastava
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CVPR (2022)
Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CoRR (2022)
Vishnu Dutt Sharma, Jingxi Chen, Abhinav Shrivastava, Pratap Tokekar
Occupancy Map Prediction for Improved Indoor Robot Navigation. CoRR (2022)
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. CoRR (2022)
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)
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)
Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava
Pose and Joint-Aware Action Recognition. WACV (2022)
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 (2022)
Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
Neural Space-filling Curves. CoRR (2022)
Matthew Gwilliam, Abhinav Shrivastava
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CoRR (2022)
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)
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)
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 (2022)
Nirat Saini, Khoi Pham, Abhinav Shrivastava
Disentangling Visual Embeddings for Attributes and Objects. CVPR (2022)
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 (2022)
Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha
Dual-Key Multimodal Backdoors for Visual Question Answering. CVPR (2022)
Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. CoRR (2022)
Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
Learning Semantic Correspondence with Sparse Annotations. CoRR (2022)
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 (2022)
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
ObjectFormer for Image Manipulation Detection and Localization. CoRR (2022)
Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
Neural Space-Filling Curves. ECCV (7) (2022)
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR (2021)
Gaurav Shrivastava, Abhinav Shrivastava
Diverse Video Generation using a Gaussian Process Trigger. ICLR (2021)
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
A Frequency Perspective of Adversarial Robustness. CoRR (2021)
Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava
The Lottery Ticket Hypothesis for Object Recognition. CVPR (2021)
Mara Levy, Vasista Ayyagari, Abhinav Shrivastava
No-frills Dynamic Planning using Static Planners. CoRR (2021)
Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. ICCV (2021)
Ahmed Taha, Abhinav Shrivastava, Larry Davis
Knowledge Evolution in Neural Networks. CoRR (2021)
Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR (2021)
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
NeRV: Neural Representations for Videos. CoRR (2021)
Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR (2021)
Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis
SVMax: A Feature Embedding Regularizer. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhinav Shrivastava