Papers
Differentiable Dynamic Wirings for Neural Networks
Kun Yuan, Quanquan Li, Shaopeng Guo et al.
Differentiable Surface Rendering via Non-Differentiable Sampling
Forrester Cole, Kyle Genova, Avneesh Sud et al.
Digging Into Uncertainty in Self-Supervised Multi-View Stereo
Hongbin Xu, Zhipeng Zhou, Yali Wang et al.
Direct Differentiable Augmentation Search
Aoming Liu, Zehao Huang, Zhiwu Huang et al.
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision
Shiyi Lan, Zhiding Yu, Christopher Choy et al.
Discovering 3D Parts From Image Collections
Chun-Han Yao, Wei-Chih Hung, Varun Jampani et al.
Discovering Human Interactions With Large-Vocabulary Objects via Query and Multi-Scale Detection
Suchen Wang, Kim-Hui Yap, Henghui Ding et al.
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li, Chenliang Xu
Discriminative Region-Based Multi-Label Zero-Shot Learning
Sanath Narayan, Akshita Gupta, Salman Khan et al.
Disentangled High Quality Salient Object Detection
Lv Tang, Bo Li, Yijie Zhong et al.
Disentangled Lifespan Face Synthesis
Sen He, Wentong Liao, Michael Ying Yang et al.
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective
Xuege Hou, Yali Li, Shengjin Wang
Dissecting Image Crops
Basile Van Hoorick, Carl Vondrick
Distance-Aware Quantization
Dohyung Kim, Junghyup Lee, Bumsub Ham
Distillation-Guided Image Inpainting
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
Distilling Global and Local Logits With Densely Connected Relations
Youmin Kim, Jinbae Park, YounHo Jang et al.
Distilling Holistic Knowledge With Graph Neural Networks
Sheng Zhou, Yucheng Wang, Defang Chen et al.
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons, Parham Noorzad, Andrii Skliar et al.
Distilling Virtual Examples for Long-Tailed Recognition
Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration
Taewon Min, Chonghyuk Song, Eunseok Kim et al.
Distributional Robustness Loss for Long-Tail Learning
Dvir Samuel, Gal Chechik
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Sitao Xiang, Yuming Gu, Pengda Xiang et al.
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang et al.
Diverse Image Style Transfer via Invertible Cross-Space Mapping
Haibo Chen, Lei Zhao, Huiming Zhang et al.
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection
Jinlei Hou, Yingying Zhang, Qiaoyong Zhong et al.