Papers
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
Xinghui Li, Jingyi Lu, Kai Han et al.
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim, Hoseong Cho, Jihyeon Kim et al.
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
Rui Zhu, Yingwei Pan, Yehao Li et al.
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
Sichen Chen, Yingyi Zhang, Siming Huang et al.
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
Xiaojun Hou, Jiazheng Xing, Yijie Qian et al.
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
Xingyi Li, Zhiguo Cao, Yizheng Wu et al.
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Abhinav Kumar, Yuliang Guo, Xinyu Huang et al.
Seamless Human Motion Composition with Blended Positional Encodings
German Barquero, Sergio Escalera, Cristina Palmero
SEAS: ShapE-Aligned Supervision for Person Re-Identification
Haidong Zhu, Pranav Budhwant, Zhaoheng Zheng et al.
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
Yamei Chen, Yan Di, Guangyao Zhai et al.
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
Bin Xie, Jiale Cao, Jin Xie et al.
SeD: Semantic-Aware Discriminator for Image Super-Resolution
Bingchen Li, Xin Li, Hanxin Zhu et al.
SEED-Bench: Benchmarking Multimodal Large Language Models
Bohao Li, Yuying Ge, Yixiao Ge et al.
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners
Yazhou Xing, Yingqing He, Zeyue Tian et al.
Seeing Motion at Nighttime with an Event Camera
Haoyue Liu, Shihan Peng, Lin Zhu et al.
Seeing the Unseen: Visual Common Sense for Semantic Placement
Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra et al.
Seeing the World through Your Eyes
Hadi Alzayer, Kevin Zhang, Brandon Feng et al.
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
Jianan Fan, Dongnan Liu, Hang Chang et al.
See Say and Segment: Teaching LMMs to Overcome False Premises
Tsung-Han Wu, Giscard Biamby, David Chan et al.
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Rongyuan Wu, Tao Yang, Lingchen Sun et al.
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
Cheng Sun, Wei-En Tai, Yu-Lin Shih et al.
Segment and Caption Anything
Xiaoke Huang, Jianfeng Wang, Yansong Tang et al.
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
Zhiwen Chen, Zhiyu Zhu, Yifan Zhang et al.
Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong et al.
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
Dian Zheng, Xiao-Ming Wu, Shuzhou Yang et al.