Papers
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.
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Chun-Mei Feng, Kai Yu, Yong Liu et al.
Diverse Inpainting and Editing with GAN Inversion
Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen et al.
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
Weiguang Zhao, Yuyao Yan, Chaolong Yang et al.
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability
Yunqian Wen, Bo Liu, Jingyi Cao et al.
Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-Localization
Gabriele Trivigno, Gabriele Berton, Juan Aragon et al.
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution
Xiang Li, Jiangxin Dong, Jinhui Tang et al.
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Elad Levi, Eli Brosh, Mykola Mykhailych et al.