Papers
SHIP: Structural Hierarchies for Instance-Dependent Partial Labels
Tushar Kadam, Utkarsh Mishra, Aakarsh Malhotra
XR-MBT: Multi-Modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration
Denys Rozumnyi, Nadine Bertsch, Othman Sbai et al.
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Youngjun Jun, Jiwoo Park, Kyobin Choo et al.
Click&Describe: Multimodal Grounding and Tracking for Aerial Objects
Rupanjali Kukal, Jay Patravali, Fuxun Yu et al.
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces
Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka et al.
Text Change Detection in Multilingual Documents using Image Comparison
Doyoung Park, Naresh Reddy Yarram, Sunjin Kim et al.
Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance
Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada
Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms
Boqi Chen, Yuanzhi Zhu, Yunke Ao et al.
Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing
Naeun Ko, Yonghyun Jeong, Jong Chul Ye
Learning to Count from Pseudo-Labeled Segmentation
Jingyi Xu, Hieu Le, Dimitris Samaras
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation
Ruyu Wang, Xuefeng Hou, Sabrina Schmedding et al.
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee, Sojung An, Sujeong You et al.
Towards a Training Free Approach for 3D Scene Editing
Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu et al.
Bayesian Optimal Latent Projection for Noisy Image Restoration
Ziqiang Shi, Rujie Liu, Jun Takahashi et al.
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Łapacz, Daniel Marczak, Filip Szatkowski et al.
CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition
Kamalakar Vijay, Lalit Lohani, Kamakshya Prasad Nayak et al.
Are Exemplar-Based Class Incremental Learning Models Victim of Black-Box Poison Attacks?
Neeresh Kumar Perla, Md. Iqbal Hossain, Afia Sajeeda et al.
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
Rohit Jena, Ali Taghibakhshi, Sahil Jain et al.
A Conflict-Guided Evidential Multimodal Fusion for Semantic Segmentation
Lucas Deregnaucourt, Hind Laghmara, Alexis Lechervy et al.
Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain
Marco Huber, Naser Damer
OccLoff: Learning Optimized Feature Fusion for 3D Occupancy Prediction
Ji Zhang, Yiran Ding, Zixin Liu
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time
Stanislav Frolov, Brian B. Moser, Andreas Dengel
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction
Yujing Xue, Jiaxiang Liu, Jiawei Du et al.
Instructive3D: Editing Large Reconstruction Models with Text Instructions
Kunal Kathare, Ankit Dhiman, K Vikas Gowda et al.