Papers
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Ye Liu, Yaya Cheng, Lianli Gao et al.
Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain
Lina Guo, Xinjie Shi, Dailan He et al.
Practical Stereo Matching via Cascaded Recurrent Network With Adaptive Correlation
Jiankun Li, Peisen Wang, Pengfei Xiong et al.
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
Zipeng Xu, Tianwei Lin, Hao Tang et al.
Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction
Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani
Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives
Xinke Li, Henghui Ding, Zekun Tong et al.
Privacy-Preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang et al.
Privacy Preserving Partial Localization
Marcel Geppert, Viktor Larsson, Johannes L. Schönberger et al.
Proactive Image Manipulation Detection
Vishal Asnani, Xi Yin, Tal Hassner et al.
Probabilistic Representations for Video Contrastive Learning
Jungin Park, Jiyoung Lee, Ig-Jae Kim et al.
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
Prune Truong, Martin Danelljan, Fisher Yu et al.
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
MohammadReza Davari, Nader Asadi, Sudhir Mudur et al.
Programmatic Concept Learning for Human Motion Description and Synthesis
Sumith Kulal, Jiayuan Mao, Alex Aiken et al.
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
Jiaqi Tang, Zhaoyang Liu, Chen Qian et al.
Progressive End-to-End Object Detection in Crowded Scenes
Anlin Zheng, Yuang Zhang, Xiangyu Zhang et al.
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
Tiezheng Ma, Yongwei Nie, Chengjiang Long et al.
Projective Manifold Gradient Layer for Deep Rotation Regression
Jiayi Chen, Yingda Yin, Tolga Birdal et al.
Prompt Distribution Learning
Yuning Lu, Jianzhuang Liu, Yonggang Zhang et al.
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples
Noo-ri Kim, Jee-Hyong Lee
Proper Reuse of Image Classification Features Improves Object Detection
Cristina Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues
Hengcan Shi, Munawar Hayat, Yicheng Wu et al.
Protecting Celebrities From DeepFake With Identity Consistency Transformer
Xiaoyi Dong, Jianmin Bao, Dongdong Chen et al.
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
Shengshan Hu, Xiaogeng Liu, Yechao Zhang et al.
Proto2Proto: Can You Recognize the Car, the Way I Do?
Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy et al.