3 code implementations • 30 Jul 2018 • Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, Xinggang Wang
We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an active topic in computer vision but lacks a theoretical foundation.
Ranked #15 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • 7 Sep 2018 • Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He
It generates hashing bits by the output neurons of a deep hashing network.
no code implementations • 23 Nov 2018 • Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan
Here our goal is to automatically find a compact neural network model with high performance that is suitable for mobile devices.
1 code implementation • 12 Jul 2019 • Qian Zhang, Jianjun Li, Meng Yao, Liangchen Song, Helong Zhou, Zhichao Li, Wenming Meng, Xuezhi Zhang, Guoli Wang
In this paper, we propose a novel network design mechanism for efficient embedded computing.
Ranked #5 on Face Verification on CFP-FP
1 code implementation • 13 Aug 2020 • Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan
In the classification tree, as the number of parent class nodes are significantly less, their logits are less noisy and can be utilized to suppress the wrong/noisy logits existed in the fine-grained class nodes.
Ranked #5 on Few-Shot Object Detection on LVIS v1.0 val
no code implementations • ICLR 2021 • Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang
In this paper, we investigate the bias-variance tradeoff brought by distillation with soft labels.
no code implementations • ICCV 2021 • Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
This task is confronted with two challenges: how to establish the 3D correspondences from views to the BEV map and how to assemble occupancy information across views.
Ranked #7 on Multiview Detection on MultiviewX
4 code implementations • 1 Feb 2021 • Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang
The outputs from the teacher network are used as soft labels for supervising the training of a new network.
Ranked #25 on Knowledge Distillation on ImageNet
1 code implementation • CVPR 2021 • Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan
Most online multi-object trackers perform object detection stand-alone in a neural net without any input from tracking.
Ranked #1 on Instance Segmentation on nuScenes
no code implementations • 15 May 2021 • Zhong Li, Liangchen Song, Celong Liu, Junsong Yuan, Yi Xu
In this paper, we present an efficient and robust deep learning solution for novel view synthesis of complex scenes.
no code implementations • 21 Sep 2022 • Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu
We propose to regularize the estimated motion to be predictable.
no code implementations • 16 Oct 2022 • Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu
We propose a privacy-preserving FL framework leveraging unlabeled public data for one-way offline knowledge distillation in this work.
no code implementations • 28 Oct 2022 • Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-term quest.
no code implementations • 10 Dec 2022 • Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu
To date, little attention has been given to multi-view 3D human mesh estimation, despite real-life applicability (e. g., motion capture, sport analysis) and robustness to single-view ambiguities.
1 code implementation • 15 Mar 2023 • Liangchen Song, Zhong Li, Xuan Gong, Lele Chen, Zhang Chen, Yi Xu, Junsong Yuan
We further propose a simple-yet-effective strategy for tuning the frequency to avoid overfitting few-shot inputs: enforcing consistency among the frequency domain of rendered 2D images.
no code implementations • 18 May 2023 • Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao
The proposed framework consists of two significant components: Geometry Guided Diffusion and Mesh Optimization.
1 code implementation • ICCV 2023 • Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu
The spatial positions of their neural features are fixed on grid nodes and cannot well adapt to target signals.
1 code implementation • 4 Oct 2023 • Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
Although the fidelity and generalizability are greatly improved, training such a powerful diffusion model requires a vast volume of training data and model parameters, resulting in a notoriously long time and high computational costs.
1 code implementation • 23 Oct 2023 • Zhong Li, Liangchen Song, Zhang Chen, Xiangyu Du, Lele Chen, Junsong Yuan, Yi Xu
A DecomposeNet learns to map each ray to its SVBRDF components: albedo, normal, and roughness.
no code implementations • 13 Dec 2023 • Liangchen Song, Liangliang Cao, Jiatao Gu, Yifan Jiang, Junsong Yuan, Hao Tang
In this work, we propose that by incorporating correspondence regularization into diffusion models, the process of 3D editing can be significantly accelerated.