Papers
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
Xueting Yang, Yihao Luo, Yuliang Xiu et al.
DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond
Feishi Wang, Jieji Ren, Heng Guo et al.
DIME-FM : DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun, Pengchuan Zhang, Peizhao Zhang et al.
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
David Svitov, Dmitrii Gudkov, Renat Bashirov et al.
DIRE for Diffusion-Generated Image Detection
Zhendong Wang, Jianmin Bao, Wengang Zhou et al.
Discovering Spatio-Temporal Rationales for Video Question Answering
Yicong Li, Junbin Xiao, Chun Feng et al.
Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification
Chang Zou, Zeqi Chen, Zhichao Cui et al.
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer et al.
Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement
Zhixiang Wei, Lin Chen, Tao Tu et al.
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
Zhiwu Qing, Shiwei Zhang, Ziyuan Huang et al.
DISeR: Designing Imaging Systems with Reinforcement Learning
Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari et al.
Disposable Transfer Learning for Selective Source Task Unlearning
Seunghee Koh, Hyounguk Shon, Janghyeon Lee et al.
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation
Zeyu Wang, Dingwen Li, Chenxu Luo et al.
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Saurav Jha et al.
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
Zehan Wang, Haifeng Huang, Yang Zhao et al.
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection
Liangqi Li, Jiaxu Miao, Dahu Shi et al.
Distilling from Similar Tasks for Transfer Learning on a Budget
Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Xuanlin Li, Yunhao Fang, Minghua Liu et al.
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets
Maoteng Zheng, Nengcheng Chen, Junfeng Zhu et al.
Distribution-Aligned Diffusion for Human Mesh Recovery
Lin Geng Foo, Jia Gong, Hossein Rahmani et al.
Distribution-Aware Prompt Tuning for Vision-Language Models
Eulrang Cho, Jooyeon Kim, Hyunwoo J Kim
Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning
Yuanzhi Wang, Zhen Cui, Yong Li
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
Jialiang Tang, Shuo Chen, Gang Niu et al.
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
Yijiang Li, Xinjiang Wang, Lihe Yang et al.