Papers
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
Yan Zhang, Sergey Prokudin, Marko Mihajlovic et al.
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning
Shuai Shao, Yu Bai, Yan Wang et al.
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
Harsh Rangwani, Pradipto Mondal, Mayank Mishra et al.
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Sijia Chen, En Yu, Jinyang Li et al.
DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
Shihua Zhang, Zizhuo Li, Yuan Gao et al.
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley et al.
DemoFusion: Democratising High-Resolution Image Generation With No $$$
Ruoyi Du, Dongliang Chang, Timothy Hospedales et al.
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network
Aihua Mao, Biao Yan, Zijing Ma et al.
Dense Optical Tracking: Connecting the Dots
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Dense Vision Transformer Compression with Few Samples
Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
Di Wen, Haoran Xu, Zhaocheng He et al.
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
Jianan Li, Qiulei Dong
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
Zhimin Yuan, Wankang Zeng, Yanfei Su et al.
DePT: Decoupled Prompt Tuning
Ji Zhang, Shihan Wu, Lianli Gao et al.
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang et al.
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
Liqiong Wang, Jinyu Yang, Yanfu Zhang et al.
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
Weihuang Liu, Xi Shen, Haolun Li et al.
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
Yafei Zhang, Shen Zhou, Huafeng Li
Depth Prompting for Sensor-Agnostic Depth Estimation
Jin-Hwi Park, Chanhwi Jeong, Junoh Lee et al.
Describing Differences in Image Sets with Natural Language
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang et al.
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, Yu Qiao et al.
Design2Cloth: 3D Cloth Generation from 2D Masks
Jiali Zheng, Rolandos Alexandros Potamias, Stefanos Zafeiriou
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
Lewei Yao, Renjie Pi, Jianhua Han et al.
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
Yibo Wang, Ruiyuan Gao, Kai Chen et al.