13 citations · 48 across the 12 of their papers we have counts for
12 papers
InstructHumans: Editing Animated 3D Human Textures with Instructions
Jiayin Zhu, Linlin Yang, Angela Yao
We present InstructHumans, a novel framework for instruction-driven {animatable} 3D human texture editing. Existing text-based 3D editing methods often directly apply Score Distill…
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
Zicong Fan, Takehiko Ohkawa, Linlin Yang +21
We interact with the world with our hands and see it through our own (egocentric) perspective. A holistic 3Dunderstanding of such interactions from egocentric views is important fo…
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture
Jiayin Zhu, Zhuoran Zhao, Linlin Yang +1
We present HiFiHR, a high-fidelity hand reconstruction approach that utilizes render-and-compare in the learning-based framework from a single image, capable of generating visually…
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Ziwei Yu, Chen Li, Linlin Yang +4
Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as plausible hand shapes. Conver…
Improving Deep Regression with Ordinal Entropy
Shihao Zhang, Linlin Yang, Michael Bi Mi +2
In computer vision, it is often observed that formulating regression problems as a classification task often yields better performance. We investigate this curious phenomenon and p…
UV-Based 3D Hand-Object Reconstruction with Grasp Optimization
Ziwei Yu, Linlin Yang, You Xie +2
We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image. The representation of hand-object contact regions is criti…
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Runqi Wang, Linlin Yang, Baochang Zhang +3
Research on the generalization ability of deep neural networks (DNNs) has recently attracted a great deal of attention. However, due to their complex architectures and large number…
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
Ziwei Yu, Linlin Yang, Shicheng Chen +1
This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image. To that end, we present a novel pipeline for local and glob…
Cogradient Descent for Bilinear Optimization
Li'an Zhuo, Baochang Zhang, Linlin Yang +5
Conventional learning methods simplify the bilinear model by regarding two intrinsically coupled factors independently, which degrades the optimization procedure. One reason lies i…
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks
Li'an Zhuo, Baochang Zhang, Hanlin Chen +4
Neural architecture search (NAS) proves to be among the best approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high…
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek +32
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…
Disentangling Latent Hands for Image Synthesis and Pose Estimation
Linlin Yang, Angela Yao
Hand image synthesis and pose estimation from RGB images are both highly challenging tasks due to the large discrepancy between factors of variation ranging from image background c…