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most citedBridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation

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cs.CV20261 cited

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification

Heming Du, Chen Liu, Ming Wang +3

Existing gait recognition methods typically identify individuals based on the similarity between probe and gallery samples. However, these methods often neglect the fact that the g…

cs.CV2024

DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity

Yeying Jin, Wei Ye, Wenhan Yang +2

Removing soft and self shadows that lack clear boundaries from a single image is still challenging. Self shadows are shadows that are cast on the object itself. Most existing metho…