b'Zequn Jie'

research

∙ 06/01/2023

UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning

Recent advances in vision-language pre-training have enabled machines to...

0 Xiao Dong, et al. ∙

research

∙ 12/07/2022

Multiple Object Tracking Challenge Technical Report for Team MT_IoT

This is a brief technical report of our proposed method for Multiple-Obj...

0 Feng Yan, et al. ∙

research

∙ 09/16/2022

Weakly Supervised Semantic Segmentation via Progressive Patch Learning

Most of the existing semantic segmentation approaches with image-level c...

0 Jinlong Li, et al. ∙

research

∙ 09/16/2022

Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

Generating precise class-aware pseudo ground-truths, a.k.a, class activa...

0 Jinlong Li, et al. ∙

research

∙ 09/07/2022

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

Fusing LiDAR and camera information is essential for achieving accurate ...

0 Yang Jiao, et al. ∙

research

∙ 08/11/2022

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

Cross-modal fashion image synthesis has emerged as one of the most promi...

9 Xujie Zhang, et al. ∙

research

∙ 07/11/2022

MT-Net Submission to the Waymo 3D Detection Leaderboard

In this technical report, we introduce our submission to the Waymo 3D De...

0 Shaoxiang Chen, et al. ∙

research

∙ 03/10/2022

MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes

3D dense captioning is a recently-proposed novel task, where point cloud...

0 Yang Jiao, et al. ∙

research

∙ 03/10/2022

Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding

Recently, one-stage visual grounders attract high attention due to the c...

0 Yang Jiao, et al. ∙

research

∙ 10/09/2021

Two-stage Visual Cues Enhancement Network for Referring Image Segmentation

Referring Image Segmentation (RIS) aims at segmenting the target object ...

0 Yang Jiao, et al. ∙

research

∙ 05/23/2020

Delving into the Imbalance of Positive Proposals in Two-stage Object Detection

Imbalance issue is a major yet unsolved bottleneck for the current objec...

6 Zheng Ge, et al. ∙

research

∙ 03/31/2020

MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

We propose to incorporate neural architecture search (NAS) into general-...

0 Yuan Gao, et al. ∙

research

∙ 03/28/2020

NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing

Although significant progress has been made in pedestrian detection rece...

0 Xin Huang, et al. ∙

research

∙ 03/16/2020

PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression

Detecting human bodies in highly crowded scenes is a challenging problem...

0 Zheng Ge, et al. ∙

research

∙ 08/01/2019

Central Similarity Hashing via Hadamard matrix

Hashing has been widely used for efficient large-scale multimedia data r...

2 Li Yuan, et al. ∙

research

∙ 12/09/2018

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

In this paper, we propose a novel end-to-end model, namely Single-Stage ...

0 Xinpeng Chen, et al. ∙

research

∙ 11/23/2018

A Sufficient Condition for Convergences of Adam and RMSProp

Adam and RMSProp, as two of the most influential adaptive stochastic alg...

0 Fangyu Zou, et al. ∙

research

∙ 10/12/2018

Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry

Combining cameras and inertial measurement units (IMUs) has been proven ...

0 Yonggen Ling, et al. ∙

research

∙ 08/10/2018

Weighted AdaGrad with Unified Momentum

Integrating adaptive learning rate and momentum techniques into SGD lead...

0 Fangyu Zou, et al. ∙

research

∙ 05/11/2018

Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation

Despite the remarkable progress, weakly supervised segmentation approach...

0 Yunchao Wei, et al. ∙

research

∙ 04/10/2018

Modular Generative Adversarial Networks

Existing methods for multi-domain image-to-image translation (or generat...

0 Bo Zhao, et al. ∙

research

∙ 04/03/2018

Left-Right Comparative Recurrent Model for Stereo Matching

Leveraging the disparity information from both left and right views is c...

0 Zequn Jie, et al. ∙

research

∙ 11/09/2017

Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...

0 Xiaojie Jin, et al. ∙

research

∙ 08/15/2017

Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback

Recent years have witnessed the great success of convolutional neural ne...

0 Xin Li, et al. ∙

research

∙ 08/08/2017

FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...

0 Xin Li, et al. ∙

research

∙ 07/21/2017

Neural Person Search Machines

We investigate the problem of person search in the wild in this work. In...

0 Hao Liu, et al. ∙

research

∙ 04/18/2017

Deep Self-Taught Learning for Weakly Supervised Object Localization

Most existing weakly supervised localization (WSL) approaches learn dete...

0 Zequn Jie, et al. ∙

research

∙ 03/08/2017

Tree-Structured Reinforcement Learning for Sequential Object Localization

Existing object proposal algorithms usually search for possible object r...

0 Zequn Jie, et al. ∙

research

∙ 01/01/2017

Video-based Person Re-identification with Accumulative Motion Context

Video based person re-identification plays a central role in realistic s...

0 Hao Liu, et al. ∙

research

∙ 12/01/2016

Video Scene Parsing with Predictive Feature Learning

In this work, we address the challenging video scene parsing problem by ...

0 Xiaojie Jin, et al. ∙

research

∙ 08/27/2016

Multi-Path Feedback Recurrent Neural Network for Scene Parsing

In this paper, we consider the scene parsing problem and propose a novel...

0 Xiaojie Jin, et al. ∙

research

∙ 01/19/2016

Scale-aware Pixel-wise Object Proposal Networks

Object proposal is essential for current state-of-the-art object detecti...

0 Zequn Jie, et al. ∙

research

∙ 11/14/2015

Reversible Recursive Instance-level Object Segmentation

In this work, we propose a novel Reversible Recursive Instance-level Obj...

0 Xiaodan Liang, et al. ∙

Zequn Jie

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