3 citations · 6 across the 8 of their papers we have counts for
10 papers · 1 filter
PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations
Yu Wei, Jiahui Zhang, Xiaoqin Zhang +2
COLMAP-free 3D Gaussian Splatting (3D-GS) has recently attracted increasing attention due to its remarkable performance in reconstructing high-quality 3D scenes from unposed images…
PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency
Haotian Wang, Aoran Xiao, Xiaoqin Zhang +2
Generalizable depth completion enables the acquisition of dense metric depth maps for unseen environments, offering robust perception capabilities for various downstream tasks. How…
Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zining Chen, Zhicheng Zhao, Fei Su +2
Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference image and a text description without requiring in-distribution triplets for train…
Mitigating Object Hallucination via Concentric Causal Attention
Yun Xing, Yiheng Li, Ivan Laptev +1
Recent Large Vision Language Models (LVLMs) present remarkable zero-shot conversational and reasoning capabilities given multimodal queries. Nevertheless, they suffer from object h…
Segment Anything with Multiple Modalities
Aoran Xiao, Weihao Xuan, Heli Qi +3
Robust and accurate segmentation of scenes has become one core functionality in various visual recognition and navigation tasks. This has inspired the recent development of Segment…
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
Xueying Jiang, Sheng Jin, Xiaoqin Zhang +2
Monocular 3D object detection aims for precise 3D localization and identification of objects from a single-view image. Despite its recent progress, it often struggles while handlin…
Efficient Test-Time Adaptation of Vision-Language Models
Adilbek Karmanov, Dayan Guan, Shijian Lu +2
Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have ach…
Weakly Supervised Monocular 3D Detection with a Single-View Image
Xueying Jiang, Sheng Jin, Lewei Lu +2
Monocular 3D detection (M3D) aims for precise 3D object localization from a single-view image which usually involves labor-intensive annotation of 3D detection boxes. Weakly superv…
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
Aoran Xiao, Weihao Xuan, Heli Qi +5
The recent Segment Anything Model (SAM) has demonstrated remarkable zero-shot capability and flexible geometric prompting in general image segmentation. However, SAM often struggle…
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
Jiahao Nie, Yun Xing, Gongjie Zhang +5
Cross-Domain Few-Shot Segmentation (CD-FSS) poses the challenge of segmenting novel categories from a distinct domain using only limited exemplars. In this paper, we undertake a co…