20 citations · 45 across the 9 of their papers we have counts for
10 papers
CGGT: Curve-Grounded Geometry Transformer for 3D Parametric Curve Reconstruction
Zhirui Gao, Renjiao Yi, Yunfan Ye +4
Recovering editable 3D parametric curves from 2D images is a fundamental challenge in computer graphics, bridging pixel-based perception and vector-based CAD modeling. Existing NeR…
Video-HOCA: A Diagnostic Benchmark for Physical Anomaly Reasoning in Video-LLMs
Chang Liu, Yunfan Ye, Qingyang Zhou +5
We introduce Video-HOCA, a diagnostic benchmark for physical anomaly reasoning in videos. Video-HOCA uses an Ontological-Causal taxonomy to distinguish violations of an entity's ow…
HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly
Chang Liu, Yunfan Ye, Fan Zhang +3
Numerous synthesized videos from generative models, especially human-centric ones that simulate realistic human actions, pose significant threats to human information security and…
ROICtrl: Boosting Instance Control for Visual Generation
Yuchao Gu, Yipin Zhou, Yunfan Ye +5
Natural language often struggles to accurately associate positional and attribute information with multiple instances, which limits current text-based visual generation models to s…
Learning Cross-hand Policies for High-DOF Reaching and Grasping
Qijin She, Shishun Zhang, Yunfan Ye +2
Reaching-and-grasping is a fundamental skill for robotic manipulation, but existing methods usually train models on a specific gripper and cannot be reused on another gripper. In t…
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
Yunfan Ye, Kai Xu, Yuhang Huang +2
Limited by the encoder-decoder architecture, learning-based edge detectors usually have difficulty predicting edge maps that satisfy both correctness and crispness. With the recent…
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Yunfan Ye, Renjiao Yi, Zhirui Gao +2
Learning-based edge detection usually suffers from predicting thick edges. Through extensive quantitative study with a new edge crispness measure, we find that noisy human-labeled…
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
Yunfan Ye, Renjiao Yi, Zhirui Gao +3
We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images. To do so, we learn a neural implicit field representing the densit…
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
Zhirui Gao, Renjiao Yi, Zheng Qin +3
Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for estimating the poses of differ…
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
Yunfan Ye, Renjiao Yi, Zhiping Cai +1
Learning-based edge detection has hereunto been strongly supervised with pixel-wise annotations which are tedious to obtain manually. We study the problem of self-training edge det…