Junjie Yan

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SenseTime Corporation ∙ Microsoft ∙ FUDAN University

R&D Executive Director at SenseTime Group Limited, R&D Director at SenseTime Group Limited, Senior Algorithm Engineer at Alibaba from 2015-2016, Research Intern at Baidu Inc. from 2014-2015

MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection

Modern object detection methods can be divided into one-stage approaches...
09/24/2020 ∙ by Xin Lu, et al. ∙ 8 ∙ share

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Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition

Recent years have witnessed the significant progress of action recogniti...
09/15/2020 ∙ by Haisheng Su, et al. ∙ 10 ∙ share

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BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation

Generating human action proposals in untrimmed videos is an important ye...
09/15/2020 ∙ by Haisheng Su, et al. ∙ 6 ∙ share

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Learning Connectivity of Neural Networks from a Topological Perspective

Seeking effective neural networks is a critical and practical field in d...
08/19/2020 ∙ by Kun Yuan, et al. ∙ 39 ∙ share

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CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

As facial interaction systems are prevalently deployed, security and rel...
07/24/2020 ∙ by Yuanhan Zhang, et al. ∙ 6 ∙ share

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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

This technical report presents an overview of our solution used in the s...
07/20/2020 ∙ by Haisheng Su, et al. ∙ 2 ∙ share

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Class-wise Dynamic Graph Convolution for Semantic Segmentation

Recent works have made great progress in semantic segmentation by exploi...
07/19/2020 ∙ by Hanzhe Hu, et al. ∙ 13 ∙ share

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Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

One-shot NAS method has attracted much interest from the research commun...
05/21/2020 ∙ by Ronghao Guo, et al. ∙ 4 ∙ share

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Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels

Training with more data has always been the most stable and effective wa...
05/18/2020 ∙ by Junran Peng, et al. ∙ 9 ∙ share

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COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification

Recent years have witnessed great progress in person re-identification (...
05/16/2020 ∙ by Shijie Yu, et al. ∙ 12 ∙ share

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DMCP: Differentiable Markov Channel Pruning for Neural Networks

Recent works imply that the channel pruning can be regarded as searching...
05/07/2020 ∙ by Shaopeng Guo, et al. ∙ 27 ∙ share

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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Top-1 Solution of Multi-Moments in Time Challenge 2019

In this technical report, we briefly introduce the solutions of our team...
03/12/2020 ∙ by Manyuan Zhang, et al. ∙ 7 ∙ share

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Equalization Loss for Long-Tailed Object Recognition

Object recognition techniques using convolutional neural networks (CNN) ...
03/11/2020 ∙ by Jingru Tan, et al. ∙ 6 ∙ share

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Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization

Batch Normalization (BN) is one of the most widely used techniques in De...
01/19/2020 ∙ by Junjie Yan, et al. ∙ 20 ∙ share

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Cross-dataset Training for Class Increasing Object Detection

We present a conceptually simple, flexible and general framework for cro...
01/14/2020 ∙ by Yongqiang Yao, et al. ∙ 16 ∙ share

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Towards Unified INT8 Training for Convolutional Neural Network

Recently low-bit (e.g., 8-bit) network quantization has been extensively...
12/29/2019 ∙ by Feng Zhu, et al. ∙ 21 ∙ share

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Computation Reallocation for Object Detection

The allocation of computation resources in the backbone is a crucial iss...
12/24/2019 ∙ by Feng Liang, et al. ∙ 27 ∙ share

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Equalization Loss for Large Vocabulary Instance Segmentation

Recent object detection and instance segmentation tasks mainly focus on ...
11/12/2019 ∙ by Jingru Tan, et al. ∙ 10 ∙ share

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Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...
10/06/2019 ∙ by Xiang Li, et al. ∙ 15 ∙ share

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CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Text-image cross-modal retrieval is a challenging task in the field of l...
09/12/2019 ∙ by Zihao Wang, et al. ∙ 0 ∙ share

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Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection

Recently, Neural Architecture Search has achieved great success in large...
09/05/2019 ∙ by Junran Peng, et al. ∙ 9 ∙ share

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POD: Practical Object Detection with Scale-Sensitive Network

Scale-sensitive object detection remains a challenging task, where most ...
09/05/2019 ∙ by Junran Peng, et al. ∙ 2 ∙ share

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Towards Flops-constrained Face Recognition

Large scale face recognition is challenging especially when the computat...
09/02/2019 ∙ by Yu Liu, et al. ∙ 1 ∙ share

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Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Hardware-friendly network quantization (e.g., binary/uniform quantizatio...
08/14/2019 ∙ by Ruihao Gong, et al. ∙ 4 ∙ share

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STM: SpatioTemporal and Motion Encoding for Action Recognition

Spatiotemporal and motion features are two complementary and crucial inf...
08/07/2019 ∙ by Boyuan Jiang, et al. ∙ 4 ∙ share

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Grid R-CNN Plus: Faster and Better

Grid R-CNN is a well-performed objection detection framework. It transfo...
06/13/2019 ∙ by Xin Lu, et al. ∙ 3 ∙ share

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LAW: Learning to Auto Weight

Example weighting algorithm is an effective solution to the training bia...
05/27/2019 ∙ by Zhenmao Li, et al. ∙ 5 ∙ share

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AM-LFS: AutoML for Loss Function Search

Designing an effective loss function plays an important role in visual a...
05/17/2019 ∙ by Chuming Li, et al. ∙ 7 ∙ share

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Online Hyper-parameter Learning for Auto-Augmentation Strategy

Data augmentation is critical to the success of modern deep learning tec...
05/17/2019 ∙ by Chen Lin, et al. ∙ 6 ∙ share

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P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...
05/07/2019 ∙ by Xiao Zhang, et al. ∙ 14 ∙ share

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Knowledge Distillation via Route Constrained Optimization

Distillation-based learning boosts the performance of the miniaturized n...
04/19/2019 ∙ by Xiao Jin, et al. ∙ 8 ∙ share

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Learning to Cluster Faces on an Affinity Graph

Face recognition sees remarkable progress in recent years, and its perfo...
04/04/2019 ∙ by Lei Yang, et al. ∙ 6 ∙ share

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Video Generation from Single Semantic Label Map

This paper proposes the novel task of video generation conditioned on a ...
03/11/2019 ∙ by Junting Pan, et al. ∙ 16 ∙ share

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Context-aware Dynamic Block

Although deeper and larger neural networks have achieved better performa...
02/28/2019 ∙ by Yingcheng Su, et al. ∙ 2 ∙ share

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WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
02/19/2019 ∙ by Chen Change Loy, et al. ∙ 6 ∙ share

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Dynamic Curriculum Learning for Imbalanced Data Classification

Human attribute analysis is a challenging task in the field of computer ...
01/21/2019 ∙ by Yiru Wang, et al. ∙ 0 ∙ share

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Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification

In this paper, we propose a unified Multi-Object Tracking (MOT) framewor...
01/18/2019 ∙ by Weitao Feng, et al. ∙ 10 ∙ share

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SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Siamese network based trackers formulate tracking as convolutional featu...
12/31/2018 ∙ by Bo Li, et al. ∙ 4 ∙ share

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IRLAS: Inverse Reinforcement Learning for Architecture Search

In this paper, we propose an inverse reinforcement learning method for a...
12/13/2018 ∙ by Minghao Guo, et al. ∙ 2 ∙ share

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Factorized Attention: Self-Attention with Linear Complexities

Recent works have been applying self-attention to various fields in comp...
12/04/2018 ∙ by Zhuoran Shen, et al. ∙ 0 ∙ share

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Grid R-CNN

This paper proposes a novel object detection framework named Grid R-CNN,...
11/29/2018 ∙ by Xin Lu, et al. ∙ 14 ∙ share

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Synaptic Strength For Convolutional Neural Network

Convolutional Neural Networks(CNNs) are both computation and memory inte...
11/06/2018 ∙ by Chen Lin, et al. ∙ 2 ∙ share

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Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection

Multi-label image classification is a fundamental but challenging task t...
09/16/2018 ∙ by Yongcheng Liu, et al. ∙ 2 ∙ share

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Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

Face recognition has witnessed great progress in recent years, mainly at...
09/05/2018 ∙ by Xiaohang Zhan, et al. ∙ 8 ∙ share

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Localization Guided Learning for Pedestrian Attribute Recognition

Pedestrian attribute recognition has attracted many attentions due to it...
08/28/2018 ∙ by Pengze Liu, et al. ∙ 0 ∙ share

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Distractor-aware Siamese Networks for Visual Object Tracking

Recently, Siamese networks have drawn great attention in visual tracking...
08/18/2018 ∙ by Zheng Zhu, et al. ∙ 0 ∙ share

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BlockQNN: Efficient Block-wise Neural Network Architecture Generation

Convolutional neural networks have gained a remarkable success in comput...
08/16/2018 ∙ by Zhao Zhong, et al. ∙ 4 ∙ share

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Quantization Mimic: Towards Very Tiny CNN for Object Detection

In this paper, we propose a simple and general framework for training ve...
05/06/2018 ∙ by Yi Wei, et al. ∙ 0 ∙ share

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Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy

Fully convolutional neural network (FCN) has been dominating the game of...
04/14/2018 ∙ by Guanglu Song, et al. ∙ 0 ∙ share

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Junjie Yan

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