Papers
Deep Stereo Image Compression via Bi-Directional Coding
Jianjun Lei, Xiangrui Liu, Bo Peng et al.
Deep Unlearning via Randomized Conditionally Independent Hessians
Ronak Mehta, Sourav Pal, Vikas Singh et al.
Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish
Yancong Lin, Ruben Wiersma, Silvia L. Pintea et al.
Deep Visual Geo-Localization Benchmark
Gabriele Berton, Riccardo Mereu, Gabriele Trivigno et al.
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints
Zhendong Zhao, Xiaojun Chen, Yuexin Xuan et al.
Defensive Patches for Robust Recognition in the Physical World
Jiakai Wang, Zixin Yin, Pengfei Hu et al.
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jon Donnelly, Alina Jade Barnett, Chaofan Chen
Deformable Sprites for Unsupervised Video Decomposition
Vickie Ye, Zhengqi Li, Richard Tucker et al.
Deformable Video Transformer
Jue Wang, Lorenzo Torresani
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
Zhao Jin, Yinjie Lei, Naveed Akhtar et al.
Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo
Xihao Chen, Zhiwei Xiong, Zhen Cheng et al.
Degree-of-Linear-Polarization-Based Color Constancy
Taishi Ono, Yuhi Kondo, Legong Sun et al.
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
Mathias Parger, Chengcheng Tang, Christopher D. Twigg et al.
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts
Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang et al.
Delving Into the Estimation Shift of Batch Normalization in a Network
Lei Huang, Yi Zhou, Tian Wang et al.
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
Siyue Yu, Jimin Xiao, Bingfeng Zhang et al.
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
Jisoo Mok, Byunggook Na, Ji-Hoon Kim et al.
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen et al.
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall et al.
Dense Learning Based Semi-Supervised Object Detection
Binghui Chen, Pengyu Li, Xiang Chen et al.
Density-Preserving Deep Point Cloud Compression
Yun He, Xinlin Ren, Danhang Tang et al.
Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fa-Ting Hong, Longhao Zhang, Li Shen et al.
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
Yuhua Xu, Xiaoli Yang, Yushan Yu et al.
Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows
Sheng Liu, Xiaohan Nie, Raffay Hamid
Depth-Supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng, Andrew Liu, Jun-Yan Zhu et al.