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.
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
Online Multi-Object Tracking
on MOT16
2 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 #7 on
Knowledge Distillation
on ImageNet
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.
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.
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
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 #4 on
Face Verification
on CFP-FP
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.
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.
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 #14 on
Unsupervised Domain Adaptation
on Market to Duke