Search Results for author: Linlin Yang

Found 23 papers, 7 papers with code

Normalizing Batch Normalization for Long-Tailed Recognition

1 code implementation6 Jan 2025 Yuxiang Bao, Guoliang Kang, Linlin Yang, Xiaoyue Duan, Bo Zhao, Baochang Zhang

Differently, in this paper, we identify that the bias towards the frequent class may be encoded into features, i. e., the rare-specific features which play a key role in discriminating the rare class are much weaker than the frequent-specific features.

InstructHumans: Editing Animated 3D Human Textures with Instructions

no code implementations5 Apr 2024 Jiayin Zhu, Linlin Yang, Angela Yao

We present InstructHumans, a novel framework for instruction-driven 3D human texture editing.

HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture

1 code implementation25 Aug 2023 Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao

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 plausible and accurate 3D hand meshes while recovering realistic textures.

Bias-Compensated Integral Regression for Human Pose Estimation

no code implementations25 Jan 2023 Kerui Gu, Linlin Yang, Michael Bi Mi, Angela Yao

Experimental results on both the human body and hand benchmarks show that BCIR is faster to train and more accurate than the original integral regression, making it competitive with state-of-the-art detection methods.

Hand Pose Estimation regression

Improving Deep Regression with Ordinal Entropy

1 code implementation21 Jan 2023 Shihao Zhang, Linlin Yang, Michael Bi Mi, Xiaoxu Zheng, Angela Yao

In computer vision, it is often observed that formulating regression problems as a classification task often yields better performance.

Classification Crowd Counting +2

Cross-Domain 3D Hand Pose Estimation With Dual Modalities

no code implementations CVPR 2023 Qiuxia Lin, Linlin Yang, Angela Yao

To solve this problem, we present a framework for cross-domain semi-supervised hand pose estimation and target the challenging scenario of learning models from labelled multi-modal synthetic data and unlabelled real-world data.

3D Hand Pose Estimation Contrastive Learning +2

Analyzing and Diagnosing Pose Estimation With Attributions

no code implementations CVPR 2023 Qiyuan He, Linlin Yang, Kerui Gu, Qiuxia Lin, Angela Yao

We present Pose Integrated Gradient (PoseIG), the first interpretability technique designed for pose estimation.

Hand Pose Estimation

UV-Based 3D Hand-Object Reconstruction with Grasp Optimization

no code implementations24 Nov 2022 Ziwei Yu, Linlin Yang, You Xie, Ping Chen, Angela Yao

We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image.

3D Hand Pose Estimation Object +1

Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

1 code implementation13 Dec 2021 Ziwei Yu, Linlin Yang, Shicheng Chen, Angela Yao

This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image.

3D Hand Pose Estimation 3D Point Cloud Reconstruction +2

Dive Deeper Into Integral Pose Regression

no code implementations ICLR 2022 Kerui Gu, Linlin Yang, Angela Yao

We do a deep dive on the inference and back-propagation of integral pose regression to better understand the causes behind the performance and training differences.

Hand Pose Estimation regression

SemiHand: Semi-Supervised Hand Pose Estimation With Consistency

no code implementations ICCV 2021 Linlin Yang, Shicheng Chen, Angela Yao

By design, we introduce data augmentation of differing difficulties, consistency regularizer, label correction and sample selection for RGB-based 3D hand pose estimation.

3D Hand Pose Estimation Data Augmentation

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

no code implementations25 Jul 2020 Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte

To the best of our knowledge, this work is the first systematic review on VSR tasks, and it is expected to make a contribution to the development of recent studies in this area and potentially deepen our understanding to the VSR techniques based on deep learning.

Deep Learning speech-recognition +3

Cogradient Descent for Bilinear Optimization

no code implementations CVPR 2020 Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David Doermann, Guodong Guo, Rongrong Ji

Conventional learning methods simplify the bilinear model by regarding two intrinsically coupled factors independently, which degrades the optimization procedure.

Image Reconstruction Network Pruning

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks

no code implementations30 Apr 2020 Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann

To this end, a Child-Parent (CP) model is introduced to a differentiable NAS to search the binarized architecture (Child) under the supervision of a full-precision model (Parent).

Neural Architecture Search

Disentangling Latent Hands for Image Synthesis and Pose Estimation

no code implementations CVPR 2019 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 content to camera viewpoint.

Image Generation Pose Estimation

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