Abhinav Shrivastava's Academic Website (original) (raw)
Refer to Google Scholar for recent publications, while I try to find time to update the website!
2023
MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava IEEE/CVF International Conference on Computer Vision (ICCV), 2023 new Oral Presentation pdf /webpage / poster / code
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining Saksham Suri*, Saketh Rambhatla*, Rama Chellappa, Abhinav Shrivastava IEEE/CVF International Conference on Computer Vision (ICCV), 2023 new pdf /webpage / poster / code
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations IEEE/CVF International Conference on Computer Vision (ICCV), 2023 new pdf /webpage / poster / video / code
BT2: Backward-compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim IEEE/CVF International Conference on Computer Vision (ICCV), 2023 new pdf
A Frequency Perspective of Adversarial Robustness Shishira R Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava British Machine Vision Conference (BMVC), 2023 new pdf
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling Shishira R Maiya*, Sharath Girish*, Max Ehrlich , Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Towards Scalable Neural Representation for Diverse Videos Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
HNeRV: A Hybrid Neural Representation for Videos Hao Chen, Matt Gwilliam, Ser-Nam Lim, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
pdf /webpage /code /video /poster
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava International Conference on Learning Representations (ICLR), 2023
COVID-VTS: Fact Extraction and Verification on Short Video Platforms Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava EACL, 2023 bibtex
2022
Improving Closed and Open Set Attribute Prediction using Transformers Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Hung Tran, Abhinav Shrivastava European Conference on Computer Vision (ECCV), 2022 bibtex /pdf /webpage / code
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah European Conference on Computer Vision (ECCV), 2022 bibtex /pdf /webpage /code
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Disentangling Visual Embeddings for Attributes and Objects Nirat Saini, Khoi Pham, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Oral Presentation bibtex /pdf /webpage /code
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning Matthew Gwilliam, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Dual-Key Multimodal Backdoors for Visual Question Answering Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
ObjectFormer for Image Manipulation Detection and Localization Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022
Pose And Joint-Aware Action Recognition Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava Winter Conference on Applications of Computer Vision (WACV), 2022
2021
GTA: Global Temporal Attention for Video Action Understanding Bo He*, Xitong Yang*, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava British Machine Vision Conference (BMVC), 2021
HR-RCNN: Hierarchical Relational Reasoning for Object Detection Hao Chen, Abhinav Shrivastava British Machine Vision Conference (BMVC), 2021
Deep Video Inpainting Detection Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim British Machine Vision Conference (BMVC), 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava Advances in Neural Information Processing Systems (NeurIPS), 2021
bibtex /website /pdf /video+slides /code
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava International Conference on Computer Vision (ICCV), 2021
Layout Generation and Completion with Self-attention Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava International Conference on Computer Vision (ICCV), 2021
Deep Co-Training with Task Decompositionfor Semi-Supervised Domain Adaptation Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Weinberger, Wei-Lun Chao, Ser-Nam Lim International Conference on Computer Vision (ICCV), 2021
Knowledge Evolution in Neural Networks Ahmed Taha, Abhinav Shrivastava, Larry Davis IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
oral presentation bibtex /pdf /website /code /blog
Style-based Encoder Pre-training for Multi-modal Image Synthesis Moustafa Mehshry, Yixuan Ren, Larry Davis, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Hung Tran, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
bibtex /pdf /website /code / demo / explore the VAW dataset
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry Davis IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Learning Graphs for Knowledge Transfer with Limited Labels Pallabi Ghosh, Nirat Saini, Larry Davis, Abhinav Shrivastava IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
bibtex /pdf /website /video /code
No-frills Dynamic Planning using Static Planners Mara Levy, Vasista Ayyagari, Abhinav Shrivastava IEEE International Conference on Robotics and Automation (ICRA), 2021
Diverse Video Generation using a Gaussian Process Trigger Gaurav Shrivastava, Abhinav Shrivastava International Conference on Learning Representations (ICLR), 2021
A Unifying Framework for Formal Theories of Novelty T. E. Boult, P. A. Grabowicz, D. S. Prijatelj, R. Stern, L. Holder, J. Alspector, M. Jafarzadeh, T. Ahmad, A. R. Dhamija, C.Li, S. Cruz, A. Shrivastava, C. Vondrick, W. J. Scheirer Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 BlueSky Talk bibtex /pdf /extended pdf
2020
Improved Modeling of 3D Shapes with Multi-view Depth Maps Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker International Conference on 3D Vision (3DV), 2020 oral presentation bibtex /pdf /website /code /video
Depth Completion using a View-constrained Deep Prior Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi International Conference on 3D Vision (3DV), 2020 bibtex /pdf
A Generic Visualization Approach for Convolutional Neural Networks Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis European Conference on Computer Vision (ECCV), 2020 bibtex /pdf /code /project page /video
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava European Conference on Computer Vision (ECCV), 2020 bibtex /pdf
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet Hao Chen, Abhinav Shrivastava arXiv, 2020
All About Knowledge Graphs for Actions Pallabi Ghosh, Nirat Saini, Larry Davis, Abhinav Shrivastava arXiv, 2020
2019 and earlier
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker ICCV Workshops, Geometry Meets Deep Learning, 2019 bibtex /pdf
NEIL: Extracting Visual Knowledge from Web Data Xinlei Chen, Abhinav Shrivastava,Abhinav Gupta IEEE International Conference on Computer Vision (ICCV), 2013 oral presentation bibtex /pdf /project page /code /test code /video /poster / slides (pptx) In Media:CNN,Discover Magazine,Newsweek,Forbes,Yahoo! News,BBC News,AP,Business Insider,Slashdot,Engadget,Techradar