18 citations · 34 across the 13 of their papers we have counts for
11 papers · 1 filter
Training-Free Model Merging for Multi-target Domain Adaptation
Wenyi Li, Huan-ang Gao, Mingju Gao +3
In this paper, we study multi-target domain adaptation of scene understanding models. While previous methods achieved commendable results through inter-domain consistency losses, t…
Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images
Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng +6
We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context. The difficulty of reliably capturing geometric…
Key Patch Proposer: Key Patches Contain Rich Information
Jing Xu, Beiwen Tian, Hao Zhao
In this paper, we introduce a novel algorithm named Key Patch Proposer (KPP) designed to select key patches in an image without additional training. Our experiments showcase KPP's…
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian, Huan-ang Gao, Leiyao Cui +6
In the past several years, road anomaly segmentation is actively explored in the academia and drawing growing attention in the industry. The rationale behind is straightforward: if…
Delving into Shape-aware Zero-shot Semantic Segmentation
Xinyu Liu, Beiwen Tian, Zhen Wang +5
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a su…
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
Huan-ang Gao, Beiwen Tian, Pengfei Li +2
In this paper, we study the problem of semi-supervised 3D object detection, which is of great importance considering the high annotation cost for cluttered 3D indoor scenes. We res…