Papers
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
Chongjian Ge, Yibing Song, Yuying Ge et al.
Disentangling Label Distribution for Long-Tailed Visual Recognition
Youngkyu Hong, Seungju Han, Kwanghee Choi et al.
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Yanbei Chen, Yongqin Xian, A. Sophia Koepke et al.
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu, Kaihua Tang, Chunyan Miao et al.
Distilling Knowledge via Knowledge Review
Pengguang Chen, Shu Liu, Hengshuang Zhao et al.
Distilling Object Detectors via Decoupled Features
Jianyuan Guo, Kai Han, Yunhe Wang et al.
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
Zikai Zhang, Bineng Zhong, Shengping Zhang et al.
Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition
Songyang Zhang, Zeming Li, Shipeng Yan et al.
Distribution-Aware Adaptive Multi-Bit Quantization
Sijie Zhao, Tao Yue, Xuemei Hu
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Rui Liu, Yixiao Ge, Ching Lam Choi et al.
Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Jiahui She, Yibo Hu, Hailin Shi et al.
Divergence Optimization for Noisy Universal Domain Adaptation
Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
Diverse Branch Block: Building a Convolution as an Inception-Like Unit
Xiaohan Ding, Xiangyu Zhang, Jungong Han et al.
Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer
Yulin Li, Jianfeng He, Tianzhu Zhang et al.
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Zhentao Tan, Menglei Chai, Dongdong Chen et al.
Diversifying Sample Generation for Accurate Data-Free Quantization
Xiangguo Zhang, Haotong Qin, Yifu Ding et al.
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga et al.
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll et al.
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets
Jianpeng Zhang, Yutong Xie, Yong Xia et al.
Dogfight: Detecting Drones From Drones Videos
Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier
Jian Liang, Dapeng Hu, Jiashi Feng
Domain Consensus Clustering for Universal Domain Adaptation
Guangrui Li, Guoliang Kang, Yi Zhu et al.
Domain-Independent Dominance of Adaptive Methods
Pedro Savarese, David McAllester, Sudarshan Babu et al.
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels
Mingda Zhang, Tristan Maidment, Ahmad Diab et al.
Domain-Specific Suppression for Adaptive Object Detection
Yu Wang, Rui Zhang, Shuo Zhang et al.
2021
CVPR