Papers
Learning To Dub Movies via Hierarchical Prosody Models
Gaoxiang Cong, Liang Li, Yuankai Qi et al.
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur, Stephanie Hyland, Qianchu Liu et al.
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
Haina Qin, Longfei Han, Weihua Xiong et al.
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes
Rui Li, Dong Gong, Wei Yin et al.
Learning To Generate Image Embeddings With User-Level Differential Privacy
Zheng Xu, Maxwell Collins, Yuxiao Wang et al.
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space
Yong Zhang, Yingwei Pan, Ting Yao et al.
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs
Junbum Cha, Jonghwan Mun, Byungseok Roh
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
Tianxin Huang, Zhonggan Ding, Jiangning Zhang et al.
Learning To Name Classes for Vision and Language Models
Sarah Parisot, Yongxin Yang, Steven McDonagh
Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data
Nilesh Kulkarni, Linyi Jin, Justin Johnson et al.
Learning To Render Novel Views From Wide-Baseline Stereo Pairs
Yilun Du, Cameron Smith, Ayush Tewari et al.
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
Learning To Segment Every Referring Object Point by Point
Mengxue Qu, Yu Wu, Yunchao Wei et al.
Learning To Zoom and Unzoom
Chittesh Thavamani, Mengtian Li, Francesco Ferroni et al.
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge
Ziyun Zeng, Yuying Ge, Xihui Liu et al.
Learning Transformation-Predictive Representations for Detection and Description of Local Features
Zihao Wang, Chunxu Wu, Yifei Yang et al.
Learning Transformations To Reduce the Geometric Shift in Object Detection
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
Learning Video Representations From Large Language Models
Yue Zhao, Ishan Misra, Philipp Krähenbühl et al.
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
Ruichen Zheng, Peng Li, Haoqian Wang et al.
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani, Karan Desai, Justin Johnson
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
Yurui Zhu, Tianyu Wang, Xueyang Fu et al.
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song, Yifan Zhao, Yujun Shi et al.
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
Yuanpeng Tu, Boshen Zhang, Yuxi Li et al.
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park et al.
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
Sheng Liu, Cong Phuoc Huynh, Cong Chen et al.