99 citations · 556 across the 39 of their papers we have counts for
5 papers · 1 filter
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
Lichen Zhao, Daigang Cai, Jing Zhang +6
Recently, 3D vision-and-language tasks have attracted increasing research interest. Compared to other vision-and-language tasks, the 3D visual question answering (VQA) task is less…
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Ziming Wang, Xiaoliang Huo, Zhenghao Chen +3
Point cloud registration aims at estimating the geometric transformation between two point cloud scans, in which point-wise correspondence estimation is the key to its success. In…
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Chenjian Gao, Qian Yu, Lu Sheng +2
Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing works…
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He, Gengshi Huang, Siyu Chen +7
In computer vision, pre-training models based on largescale supervised learning have been proven effective over the past few years. However, existing works mostly focus on learning…
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang, Qinghong Sun, Yichun Zhou +7
Large-scale datasets play a vital role in computer vision. But current datasets are annotated blindly without differentiation to samples, making the data collection inefficient and…