10 papers
Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation
Shuwei Li, Lei Tan, Robby T. Tan
Day-to-night unpaired image translation is important to downstream tasks but remains challenging due to large appearance shifts and the lack of direct pixel-level supervision. Exis…
Aggregating Diverse Cue Experts for AI-Generated Image Detection
Lei Tan, Shuwei Li, Mohan Kankanhalli +1
The rapid emergence of image synthesis models poses challenges to the generalization of AI-generated image detectors. However, existing methods often rely on model-specific feature…
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
Hongchao Jiang, Yiming Chen, Yushi Cao +2
Large Language Models (LLMs) have significantly advanced the state-of-the-art in various coding tasks. Beyond directly answering user queries, LLMs can also serve as judges, assess…
Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
Mikhail Kennerley, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb +1
Combining multiple object detection datasets offers a path to improved generalisation but is hindered by inconsistencies in class semantics and bounding box annotations. Some metho…
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
Xin Li, Yeying Jin, Xin Jin +134
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are devel…
VoiceBench: Benchmarking LLM-Based Voice Assistants
Yiming Chen, Xianghu Yue, Chen Zhang +3
Building on the success of large language models (LLMs), recent advancements such as GPT-4o have enabled real-time speech interactions through LLM-based voice assistants, offering…