Search Results for author: Xiangru Lin

Found 10 papers, 5 papers with code

SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations

no code implementations30 May 2024 Yujiao Jiang, Qingmin Liao, Zhaolong Wang, Xiangru Lin, Zongqing Lu, Yuxi Zhao, Hanqing Wei, Jingrui Ye, Yu Zhang, Zhijing Shao

We present SMPLX-Lite dataset, the most comprehensive clothing avatar dataset with multi-view RGB sequences, keypoints annotations, textured scanned meshes, and textured SMPLX-Lite-D models.

Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection

no code implementations CVPR 2024 Jiacheng Zhang, Jiaming Li, Xiangru Lin, Wei zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li

Additionally, we present a DepthGradient Projection (DGP) module to mitigate optimization conflicts caused by noisy depth supervision of pseudo-labels, effectively decoupling the depth gradient and removing conflicting gradients.

Monocular 3D Object Detection object-detection +1

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection

1 code implementation ICCV 2023 Jiaming Li, Xiangru Lin, Wei zhang, Xiao Tan, YingYing Li, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li

To tackle the confirmation bias from incorrect pseudo labels of minority classes, the class-rebalancing sampling module resamples unlabeled data following the guidance of the gradient-based reweighting module.

object-detection Object Detection +1

SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting

1 code implementation CVPR 2024 Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Lin, Yu Zhang, Mingming Fan, Zeyu Wang

We present SplattingAvatar, a hybrid 3D representation of photorealistic human avatars with Gaussian Splatting embedded on a triangle mesh, which renders over 300 FPS on a modern GPU and 30 FPS on a mobile device.

Semi-DETR: Semi-Supervised Object Detection with Detection Transformers

3 code implementations CVPR 2023 Jiacheng Zhang, Xiangru Lin, Wei zhang, Kuo Wang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li

Specifically, we propose a Stage-wise Hybrid Matching strategy that combines the one-to-many assignment and one-to-one assignment strategies to improve the training efficiency of the first stage and thus provide high-quality pseudo labels for the training of the second stage.

Object object-detection +3

Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection

1 code implementation CVPR 2023 Chang Liu, Weiming Zhang, Xiangru Lin, Wei zhang, Xiao Tan, Junyu Han, Xiaomao Li, Errui Ding, Jingdong Wang

It employs a "divide-and-conquer" strategy and separately exploits positives for the classification and localization task, which is more robust to the assignment ambiguity.

Dense Object Detection Object +3

I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation

no code implementations3 Jan 2023 Haoyu Ma, Xiangru Lin, Yizhou Yu

This paper proposes a novel UDA pipeline for semantic segmentation that unifies image-level and feature-level adaptation.

Segmentation Semantic Segmentation +1

Scene-Intuitive Agent for Remote Embodied Visual Grounding

no code implementations CVPR 2021 Xiangru Lin, Guanbin Li, Yizhou Yu

Intuitively, we comprehend the semantics of the instruction to form an overview of where a bathroom is and what a blue towel is in mind; then, we navigate to the target location by consistently matching the bathroom appearance in mind with the current scene.

Navigate Referring Expression +1

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