Poster Papers
24,624 papers found • Page 458 of 493
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
Cheng Sun, Wei-En Tai, Yu-Lin Shih et al.
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
Hanrong Ye, Jason Wen Yong Kuen, Qing Liu et al.
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
Lingchen Meng, Shiyi Lan, Hengduo Li et al.
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels
Rui Huang, Songyou Peng, Ayca Takmaz et al.
Segment and Caption Anything
Xiaoke Huang, Jianfeng Wang, Yansong Tang et al.
Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun et al.
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
Zhiwen Chen, Zhiyu Zhu, Yifan Zhang et al.
Segmentation-guided Layer-wise Image Vectorization with Gradient Fills
Hengyu Zhou, Hui Zhang, Bin Wang
Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong et al.
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
Jianhao Li, Tianyu Sun, Zhongdao Wang et al.
SegPoint: Segment Any Point Cloud via Large Language Model
Shuting He, Henghui Ding, Xudong Jiang et al.
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
Weitai Kang, Gaowen Liu, Shah Mubarak et al.
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Minhyun Lee, Song Park, Byeongho Heo et al.
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun et al.
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Haowei Lin, Baizhou Huang, Haotian Ye et al.
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
Dian Zheng, Xiao-Ming Wu, Shuzhou Yang et al.
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
Filip Ilic, He Zhao, Thomas Pock et al.
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
Jimyeong Kim, Jungwon Park, Wonjong Rhee
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Damien Teney, Jindong Wang, Ehsan Abbasnejad
Selective Nonlinearities Removal from Digital Signals
Krzysztof Maliszewski, Magdalena Urbanska, Varvara Vetrova et al.
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer, Edith Elkind, Philip Torr et al.
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
Sarah Rastegar, Mohammadreza Salehi, Yuki M Asano et al.
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Kaiwen Cai, ZheKai Duan, Gaowen Liu et al.
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
Qingping Zheng, Ling Zheng, Yuanfan Guo et al.
Self-Alignment with Instruction Backtranslation
Xian Li, Ping Yu, Chunting Zhou et al.
Self-attention Networks Localize When QK-eigenspectrum Concentrates
Han Bao, Ryuichiro Hataya, Ryo Karakida
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen, Qinghua Tao, Francesco Tonin et al.
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
Jiawei Liu, Changkun Ye, Ruikai Cui et al.
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
Yi-Xuan Sun, Ya-Lin Zhang, BIN HAN et al.
Self-Composing Policies for Scalable Continual Reinforcement Learning
Mikel Malagón, Josu Ceberio, Jose A Lozano
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
He Zhang, Chang Liu, wang et al.
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi et al.
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko et al.
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.
Self-correcting LLM-controlled Diffusion Models
Tsung-Han Wu, Long Lian, Joseph Gonzalez et al.
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal et al.
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Hang Li, Chengzhi Shen, Philip H.S. Torr et al.
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae Ristea, Florinel Croitoru, Radu Tudor Ionescu et al.
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
Wenke Huang, Zekun Shi, Mang Ye et al.
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
Mohammad Zohaib, Luca Cosmo, Alessio Del Bue
Self-Guided Generation of Minority Samples Using Diffusion Models
Soobin Um, Jong Chul Ye
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie, Yoonho Lee, Annie Chen et al.
SelfIE: Self-Interpretation of Large Language Model Embeddings
Haozhe Chen, Carl Vondrick, Chengzhi Mao
Self-Infilling Code Generation
Lin Zheng, Jianbo Yuan, Zhi Zhang et al.
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
Yuanhui Huang, Wenzhao Zheng, Borui Zhang et al.
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen, Yihe Deng, Huizhuo Yuan et al.
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
Keqi Chen, vinkle srivastav, Nicolas Padoy
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang et al.