b'Junjie Yan'

research

∙ 06/02/2022

PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

In this paper, we propose PETRv2, a unified framework for 3D perception ...

Yingfei Liu, et al. ∙

research

∙ 02/17/2022

cosFormer: Rethinking Softmax in Attention

Transformer has shown great successes in natural language processing, co...

Zhen Qin, et al. ∙

research

∙ 11/24/2021

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data

The foundation model is not the last chapter of the model production pip...

Yujie Wang, et al. ∙

research

∙ 11/05/2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Model quantization has emerged as an indispensable technique to accelera...

Yuhang Li, et al. ∙

research

∙ 10/11/2021

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Recently, large-scale Contrastive Language-Image Pre-training (CLIP) has...

Yangguang Li, et al. ∙

research

∙ 08/16/2021

BN-NAS: Neural Architecture Search with Batch Normalization

We present BN-NAS, neural architecture search with Batch Normalization (...

Boyu Chen, et al. ∙

research

∙ 08/07/2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing

In this paper, we observe two levels of redundancies when applying visio...

Boyu Chen, et al. ∙

research

∙ 07/29/2021

Geometry Uncertainty Projection Network for Monocular 3D Object Detection

Geometry Projection is a powerful depth estimation method in monocular 3...

Yan Lu, et al. ∙

research

∙ 07/07/2021

GLiT: Neural Architecture Search for Global and Local Image Transformer

We introduce the first Neural Architecture Search (NAS) method to find a...

Boyu Chen, et al. ∙

research

∙ 06/21/2021

GAIA: A Transfer Learning System of Object Detection that Fits Your Needs

Transfer learning with pre-training on large-scale datasets has played a...

Xingyuan Bu, et al. ∙

research

∙ 05/28/2021

AutoSampling: Search for Effective Data Sampling Schedules

Data sampling acts as a pivotal role in training deep learning models. H...

Ming Sun, et al. ∙

research

∙ 05/19/2021

Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight

Transfer learning can boost the performance on the targettask by leverag...

Ming Sun, et al. ∙

research

∙ 03/24/2021

Temporal Context Aggregation Network for Temporal Action Proposal Refinement

Temporal action proposal generation aims to estimate temporal intervals ...

Zhiwu Qing, et al. ∙

research

∙ 03/18/2021

Real-Time Visual Object Tracking via Few-Shot Learning

Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot...

Jinghao Zhou, et al. ∙

research

∙ 03/18/2021

Higher Performance Visual Tracking with Dual-Modal Localization

Visual Object Tracking (VOT) has synchronous needs for both robustness a...

Jinghao Zhou, et al. ∙

research

∙ 03/06/2021

Learning Statistical Texture for Semantic Segmentation

Existing semantic segmentation works mainly focus on learning the contex...

Lanyun Zhu, et al. ∙

research

∙ 03/02/2021

Inter-class Discrepancy Alignment for Face Recognition

The field of face recognition (FR) has witnessed great progress with the...

Jiaheng Liu, et al. ∙

research

∙ 12/25/2020

Inception Convolution with Efficient Dilation Search

Dilation convolution is a critical mutant of standard convolution neural...

Jie Liu, et al. ∙

research

∙ 12/12/2020

DETR for Pedestrian Detection

Pedestrian detection in crowd scenes poses a challenging problem due to ...

Matthieu Lin, et al. ∙

research

∙ 12/08/2020

Context-Aware Graph Convolution Network for Target Re-identification

Most existing re-identification methods focus on learning robust and dis...

Deyi Ji, et al. ∙

research

∙ 11/02/2020

PV-NAS: Practical Neural Architecture Search for Video Recognition

Recently, deep learning has been utilized to solve video recognition pro...

Zihao Wang, et al. ∙

research

∙ 10/27/2020

Your signature is your password: Haptic Passwords on Mobile Devices

In this paper, a new behavioral biometric password based on haptic inter...

Junjie Yan, et al. ∙

research

∙ 10/27/2020

Continuous Operator Authentication for Teleoperated Systems Using Hidden Markov Models

In this paper, we present a novel approach for continuous operator authe...

Junjie Yan, et al. ∙

research

∙ 10/21/2020

Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...

Jie Liu, et al. ∙

research

∙ 10/09/2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models

Automatic search of Quantized Neural Networks has attracted a lot of att...

Mingzhu Shen, et al. ∙

research

∙ 10/02/2020

Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks

One practice of employing deep neural networks is to apply the same arch...

Kun Yuan, et al. ∙

research

∙ 09/30/2020

Improving Auto-Augment via Augmentation-Wise Weight Sharing

The recent progress on automatically searching augmentation policies has...

Keyu Tian, et al. ∙

research

∙ 09/24/2020

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

Modern object detection methods can be divided into one-stage approaches...

Xin Lu, et al. ∙

research

∙ 09/15/2020

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

Recent years have witnessed the significant progress of action recogniti...

Haisheng Su, et al. ∙

research

∙ 09/15/2020

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...

Haisheng Su, et al. ∙

research

∙ 08/19/2020

Learning Connectivity of Neural Networks from a Topological Perspective

Seeking effective neural networks is a critical and practical field in d...

Kun Yuan, et al. ∙

research

∙ 07/24/2020

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

As facial interaction systems are prevalently deployed, security and rel...

Yuanhan Zhang, et al. ∙

research

∙ 07/20/2020

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...

Haisheng Su, et al. ∙

research

∙ 07/19/2020

Class-wise Dynamic Graph Convolution for Semantic Segmentation

Recent works have made great progress in semantic segmentation by exploi...

Hanzhe Hu, et al. ∙

research

∙ 05/21/2020

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

One-shot NAS method has attracted much interest from the research commun...

Ronghao Guo, et al. ∙

research

∙ 05/18/2020

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

Training with more data has always been the most stable and effective wa...

Junran Peng, et al. ∙

research

∙ 05/16/2020

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

Recent years have witnessed great progress in person re-identification (...

Shijie Yu, et al. ∙

research

∙ 05/07/2020

DMCP: Differentiable Markov Channel Pruning for Neural Networks

Recent works imply that the channel pruning can be regarded as searching...

Shaopeng Guo, et al. ∙

research

∙ 03/17/2020

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

This article introduces the solutions of the two champion teams, `MMfrui...

Yu Liu, et al. ∙

research

∙ 03/12/2020

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

In this technical report, we briefly introduce the solutions of our team...

Manyuan Zhang, et al. ∙

research

∙ 03/11/2020

Equalization Loss for Long-Tailed Object Recognition

Object recognition techniques using convolutional neural networks (CNN) ...

Jingru Tan, et al. ∙

research

∙ 01/19/2020

Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization

Batch Normalization (BN) is one of the most widely used techniques in De...

Junjie Yan, et al. ∙

research

∙ 01/14/2020

Cross-dataset Training for Class Increasing Object Detection

We present a conceptually simple, flexible and general framework for cro...

Yongqiang Yao, et al. ∙

research

∙ 12/29/2019

Towards Unified INT8 Training for Convolutional Neural Network

Recently low-bit (e.g., 8-bit) network quantization has been extensively...

Feng Zhu, et al. ∙

research

∙ 12/24/2019

Computation Reallocation for Object Detection

The allocation of computation resources in the backbone is a crucial iss...

Feng Liang, et al. ∙

research

∙ 11/12/2019

Equalization Loss for Large Vocabulary Instance Segmentation

Recent object detection and instance segmentation tasks mainly focus on ...

Jingru Tan, et al. ∙

research

∙ 10/06/2019

Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...

Xiang Li, et al. ∙

research

∙ 09/12/2019

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

Text-image cross-modal retrieval is a challenging task in the field of l...

Zihao Wang, et al. ∙

research

∙ 09/05/2019

Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection

Recently, Neural Architecture Search has achieved great success in large...

Junran Peng, et al. ∙

research

∙ 09/05/2019

POD: Practical Object Detection with Scale-Sensitive Network

Scale-sensitive object detection remains a challenging task, where most ...

Junran Peng, et al. ∙

Junjie Yan

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