Papers
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema, Vinod K Kurmi
Uncertainty Aware Interest Point Detection and Description
Jingbo Zeng, Zaiwang Gu, Weide Liu et al.
Effective Backdoor Learning on Open-Set Face Recognition Systems
Diana Voth, Leonidas Dane, Jonas Grebe et al.
DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models
Shyam Marjit, Harshit Singh, Nityanand Mathur et al.
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models
Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli et al.
A Pipeline and NIR-Enhanced Dataset for Parking Lot Segmentation
Shirin Qiam, Saipraneeth Devunuri, Lewis J. Lehe
Clarity Amidst Blur: A Deterministic Method for Synthetic Generation of Water Droplets on Camera Lenses
Tim Dieter Eberhardt, Tim Brühl, Robin Schwager et al.
Distillation of Diffusion Features for Semantic Correspondence
Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu et al.
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
Mingxian Li, Hao Sun, Yingtie Lei et al.
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
Nikos Efthymiadis, Giorgos Tolias, Ondřej Chum
CLIPArTT: Adaptation of CLIP to New Domains at Test Time
Gustavo A Vargas Hakim, David Osowiechi, Mehrdad Noori et al.
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
Sanyam Lakhanpal, Shivang Chopra, Vinija Jain et al.
Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP
Cheng-En Wu, Jinhong Lin, Yu Hen Hu et al.
CATALOG: A Camera Trap Language-Guided Contrastive Learning Model
Julian D. Santamaria, Claudia Isaza, Jhony H. Giraldo
I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting
Nicola Fanelli, Gennaro Vessio, Giovanna Castellano
Corgi: Cached Memory Guided Video Generation
Xindi Wu, Uriel Singer, Zhaojiang Lin et al.
KDC-MAE: Knowledge Distilled Contrastive Mask Auto-Encoder
Maheswar Bora, Saurabh Atreya, Aritra Mukherjee et al.
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak et al.
TaCOS: Task-Specific Camera Optimization with Simulation
Chengyang Yan, Donald G. Dansereau
Multi-Task Learning of Classification and Generation for Set-Structured Data
Fumioki Sato, Hideaki Hayashi, Hajime Nagahara
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation
Yannik Frisch, Christina Bornberg, Moritz Fuchs et al.
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Haeil Lee, Hansang Lee, Seoyeon Gye et al.
TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images
Pongsakorn Jirachanchaisiri, Nam Tuan Ly, Atsuhiro Takasu