Papers
Determinant Regularization for Gradient-Efficient Graph Matching
Tianshu Yu, Junchi Yan, Baoxin Li
Differentiable Adaptive Computation Time for Visual Reasoning
Cristobal Eyzaguirre, Alvaro Soto
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle et al.
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang, Mo Yu, Yunchao Wei et al.
Discovering Human Interactions With Novel Objects via Zero-Shot Learning
Suchen Wang, Kim-Hui Yap, Junsong Yuan et al.
Discovering Synchronized Subsets of Sequences: A Large Scale Solution
Evangelos Sariyanidi, Casey J. Zampella, Keith G. Bartley et al.
Discrete Model Compression With Resource Constraint for Deep Neural Networks
Shangqian Gao, Feihu Huang, Jian Pei et al.
Discriminative Multi-Modality Speech Recognition
Bo Xu, Cheng Lu, Yandong Guo et al.
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
Yu Deng, Jiaolong Yang, Dong Chen et al.
Disentangled Image Generation Through Structured Noise Injection
Yazeed Alharbi, Peter Wonka
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen et al.
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen, Nicolas Thome
Disparity-Aware Domain Adaptation in Stereo Image Restoration
Bo Yan, Chenxi Ma, Bahetiyaer Bare et al.
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Jiaming Sun, Linghao Chen, Yiming Xie et al.
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez et al.
Distilling Cross-Task Knowledge via Relationship Matching
Han-Jia Ye, Su Lu, De-Chuan Zhan
Distilling Effective Supervision From Severe Label Noise
Zizhao Zhang, Han Zhang, Sercan O. Arik et al.
Distilling Image Dehazing With Heterogeneous Task Imitation
Ming Hong, Yuan Xie, Cuihua Li et al.
Distilling Knowledge From Graph Convolutional Networks
Yiding Yang, Jiayan Qiu, Mingli Song et al.
Distortion Agnostic Deep Watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang et al.
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng et al.
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai et al.
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang et al.
Diverse Image Generation via Self-Conditioned GANs
Steven Liu, Tongzhou Wang, David Bau et al.
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Zhizhong Wang, Lei Zhao, Haibo Chen et al.