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20232026
most citedSemantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

11 citations · 17 across the 23 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion

Beibei Lin, Tingting Chen, Robby T. Tan

Reference-driven image completion, which restores missing regions in a target view using additional images, is particularly challenging when the target view differs significantly f…

cs.CV2025

ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation

Weilong Yan, Xin Zhang, Robby T. Tan

Monocular depth estimation under adverse weather conditions (e.g.\ rain, fog, snow, and nighttime) remains highly challenging due to the lack of reliable ground truth and the diffi…

cs.CV2025

HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation

Qinqian Lei, Bo Wang, Robby T. Tan

Zero-shot human-object interaction (HOI) detection remains a challenging task, particularly in generalizing to unseen actions. Existing methods address this challenge by tapping Vi…

cs.CV2025

CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific Methods

Qinqian Lei, Bo Wang, Robby T. Tan

HOI detection has long been dominated by task-specific models, sometimes with early vision-language backbones such as CLIP. With the rise of large generative VLMs, a key question i…

cs.CV2025

Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation

Xin Zhang, Robby T. Tan

Vision Foundation Models (VFMs) and Vision-Language Models (VLMs) have gained traction in Domain Generalized Semantic Segmentation (DGSS) due to their strong generalization capabil…

cs.CV2025

Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors

Weilong Yan, Ming Li, Haipeng Li +2

Self-supervised depth estimation from monocular cameras in diverse outdoor conditions, such as daytime, rain, and nighttime, is challenging due to the difficulty of learning univer…

cs.CV2025

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

Xiao Cao, Beibei Lin, Bo Wang +2

3D texture swapping allows for the customization of 3D object textures, enabling efficient and versatile visual transformations in 3D editing. While no dedicated method exists, ada…

cs.CV2025

Seeing Beyond Haze: Generative Nighttime Image Dehazing

Beibei Lin, Stephen Lin, Robby Tan

Nighttime image dehazing is particularly challenging when dense haze and intense glow severely degrade or entirely obscure background information. Existing methods often struggle d…