Papers
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
Pinrui Yu, Yiming Xie, Longtian Ye et al.
Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection
Heechul Lim, Min-Soo Kim, Hyun-Boo Lee et al.
Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration
Sergei Solonets, Daniil Sinitsyn, Daniel Cremers
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Sunghyun Ahn, Youngwan Jo, Kijung Lee et al.
OPFormer: Object Pose Estimation Leveraging Foundation Model with Geometric Encoding
Artem Moroz, Vít Zeman, Martin Mikšík et al.
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
Qinyi Cao, Jianan Fan, Weidong Cai
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat et al.
Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
Ayan Banerjee, Kuntal Thakur, Sandeep Gupta
DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation
Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi et al.
ReFineVQA: Iterative Refinement of Video Description via Feedback Generation for Video Question Answering
Jeongwan Shin, Chan Hur, Seongmin Cho et al.
A Fast, Simple, and Flexible Scale Informative Feature Transform Module for Arbitrary Scale Image Super-Resolution
Aupendu Kar, Prabir Kumar Biswas
MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
Mahdi Alehdaghi, Rajarshi Bhattacharya, Dai Yannick et al.
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung et al.
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
Wenhui Zhu, Xiwen Chen, Zhipeng Wang et al.
Diffusion-Based Action Recognition Generalizes to Untrained Domains
Rogério Guimarães, Frank Xiao, Pietro Perona et al.
ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
Sibo Dong, Ismail Shaheen, Maggie Shen et al.
Towards Fast and Scalable Normal Integration using Continuous Components
Francesco Milano, Jen Jen Chung, Lionel Ott et al.
Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs
Sainithin Artham, Avijit Dasgupta, Shankar Gangisetty et al.
Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval
Yuliang Huang, Pengxu Wei, Zhicheng Dong et al.
DM3Net: Dual-Camera Super-Resolution via Domain Modulation and Multi-scale Matching
Cong Guan, Jiacheng Ying, Yuya Ieiri et al.
Inpainting of Sparse Depth Maps from Monocular Depth-from-Focus on Pixel Processor Arrays
Maciej Lewandowski, Piotr Dudek
Systematic Analysis of the Unintentional CSAM-Generation-Potential of Text-to-Image Models
Nicolas Göller, Martin Steinebach
Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
Manuel Benavent-Lledo, Konstantinos Bacharidis, Victoria Manousaki et al.
ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data
Elia Bonetto, Aamir Ahmad