b'Wen Li'

research

∙ 03/15/2023

HFGD: High-level Feature Guided Decoder for Semantic Segmentation

Commonly used backbones for semantic segmentation, such as ResNet and Sw...

0 Ye Huang, et al. ∙

research

∙ 02/28/2023

DC-Former: Diverse and Compact Transformer for Person Re-Identification

In person re-identification (re-ID) task, it is still challenging to lea...

0 Wen Li, et al. ∙

research

∙ 12/18/2022

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks

In this work, we study the black-box targeted attack problem from the mo...

0 Anqi Zhao, et al. ∙

research

∙ 11/19/2022

Monitoring the edges of product networks using distances

Foucaud et al. recently introduced and initiated the study of a new grap...

0 Wen Li, et al. ∙

research

∙ 10/03/2022

The perturbation bound of the extended vertical linear complementarity problem

In this paper, we discuss the perturbation analysis of the extended vert...

0 Shiliang Wu, et al. ∙

research

∙ 09/29/2022

Motion and Appearance Adaptation for Cross-Domain Motion Transfer

Motion transfer aims to transfer the motion of a driving video to a sour...

0 Borun Xu, et al. ∙

research

∙ 09/28/2022

Motion Transformer for Unsupervised Image Animation

Image animation aims to animate a source image by using motion learned f...

0 Jiale Tao, et al. ∙

research

∙ 07/25/2022

Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection

Average precision (AP) loss has recently shown promising performance on ...

0 Dongli Xu, et al. ∙

research

∙ 07/04/2022

Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022

Automatic snake species recognition is important because it has vast pot...

0 Cheng Zou, et al. ∙

research

∙ 06/01/2022

Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment

Detection transformers like DETR have recently shown promising performan...

0 Jinhong Deng, et al. ∙

research

∙ 05/11/2022

Revisiting Random Channel Pruning for Neural Network Compression

Channel (or 3D filter) pruning serves as an effective way to accelerate ...

0 Yawei Li, et al. ∙

research

∙ 04/12/2022

Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation

Existing works typically treat cross-domain semantic segmentation (CDSS)...

0 Yahao Liu, et al. ∙

research

∙ 04/11/2022

Structure-Aware Motion Transfer with Deformable Anchor Model

Given a source image and a driving video depicting the same object type,...

0 Jiale Tao, et al. ∙

research

∙ 04/10/2022

Learning Pixel-Level Distinctions for Video Highlight Detection

The goal of video highlight detection is to select the most attractive s...

0 Fanyue Wei, et al. ∙

research

∙ 04/02/2022

Semantic-Aware Domain Generalized Segmentation

Deep models trained on source domain lack generalization when evaluated ...

0 Duo Peng, et al. ∙

research

∙ 04/01/2022

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations

Cold-start issues have been more and more challenging for providing accu...

0 Yan Zhang, et al. ∙

research

∙ 12/19/2021

Move As You Like: Image Animation in E-Commerce Scenario

Creative image animations are attractive in e-commerce applications, whe...

0 Borun Xu, et al. ∙

research

∙ 12/09/2021

HBReID: Harder Batch for Re-identification

Triplet loss is a widely adopted loss function in ReID task which pulls ...

0 Wen Li, et al. ∙

research

∙ 07/30/2021

Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation

Domain adaptation is critical for success when confronting with the lack...

0 Duo Peng, et al. ∙

research

∙ 05/17/2021

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report

Video super-resolution has recently become one of the most important mob...

35 Andrey Ignatov, et al. ∙

research

∙ 03/26/2021

VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation

Domain adaptation aims to leverage a label-rich domain (the source domai...

0 Jiayi Tian, et al. ∙

research

∙ 12/15/2020

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets

Object recognition advances very rapidly these days. One challenge is to...

0 Rui Gong, et al. ∙

research

∙ 12/15/2020

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

Open compound domain adaptation (OCDA) is a domain adaptation setting, w...

0 Rui Gong, et al. ∙

research

∙ 09/08/2020

Region Comparison Network for Interpretable Few-shot Image Classification

While deep learning has been successfully applied to many real-world com...

6 Zhiyu Xue, et al. ∙

research

∙ 07/17/2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

In this paper, we introduce a new reinforcement learning (RL) based neur...

29 Yuan Tian, et al. ∙

research

∙ 06/29/2020

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture

In this paper, we tackle the problem of convolutional neural network des...

8 Yawei Li, et al. ∙

research

∙ 06/28/2020

Analogical Image Translation for Fog Generation

Image-to-image translation is to map images from a given style to anothe...

0 Rui Gong, et al. ∙

research

∙ 04/05/2020

Deeply Aligned Adaptation for Cross-domain Object Detection

Cross-domain object detection has recently attracted more and more atten...

0 Minghao Fu, et al. ∙

research

∙ 03/02/2020

Unbiased Mean Teacher for Cross Domain Object Detection

Cross domain object detection is challenging, because object detection m...

0 Jinhong Deng, et al. ∙

research

∙ 02/20/2020

A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development

C-V2X (Cellular Vehicle-to-Everything) is the important enabling technol...

0 Shenzhi Chen, et al. ∙

research

∙ 01/16/2020

OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseas...

0 Yuan Liang, et al. ∙

research

∙ 01/16/2020

OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseas...

0 Yuan Liang, et al. ∙

research

∙ 05/20/2019

Semi-Supervised Learning by Augmented Distribution Alignment

In this work, we propose a simple yet effective semi-supervised learning...

3 Qin Wang, et al. ∙

research

∙ 05/03/2019

Known-class Aware Self-ensemble for Open Set Domain Adaptation

Existing domain adaptation methods generally assume different domains ha...

0 Qing Lian, et al. ∙

research

∙ 04/10/2019

Sliced Wasserstein Generative Models

In generative modeling, the Wasserstein distance (WD) has emerged as a u...

46 Jiqing Wu, et al. ∙

research

∙ 12/13/2018

DLOW: Domain Flow for Adaptation and Generalization

In this work, we propose a domain flow generation(DLOW) approach to mode...

12 Rui Gong, et al. ∙

research

∙ 12/12/2018

Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

Recently, increasing attention has been drawn to training semantic segme...

8 Yuhua Chen, et al. ∙

research

∙ 04/23/2018

Detecting Syntactic Features of Translated Chinese

We present a machine learning approach to distinguish texts translated t...

0 Hai Hu, et al. ∙

research

∙ 04/06/2018

Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning

Manifold theory has been the central concept of many learning methods. H...

0 Dengxin Dai, et al. ∙

research

∙ 03/08/2018

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Object detection typically assumes that training and test data are drawn...

0 Yuhua Chen, et al. ∙

research

∙ 11/30/2017

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Exploiting synthetic data to learn deep models has attracted increasing ...

0 Yuhua Chen, et al. ∙

research

∙ 11/24/2017

Appearance-and-Relation Networks for Video Classification

Spatiotemporal feature learning in videos is a fundamental and difficult...

0 Limin Wang, et al. ∙

research

∙ 08/09/2017

WebVision Database: Visual Learning and Understanding from Web Data

In this paper, we present a study on learning visual recognition models ...

0 Wen Li, et al. ∙

research

∙ 07/13/2017

Deep Domain Adaptation by Geodesic Distance Minimization

In this paper, we propose a new approach called Deep LogCORAL for unsupe...

0 Yifei Wang, et al. ∙

research

∙ 06/08/2017

Generative Autotransporters

In this paper, we aim to introduce the classic Optimal Transport theory ...

0 Jiqing Wu, et al. ∙

research

∙ 05/16/2017

WebVision Challenge: Visual Learning and Understanding With Web Data

We present the 2017 WebVision Challenge, a public image recognition chal...

0 Wen Li, et al. ∙

research

∙ 07/12/2016

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

In this paper, we propose a novel unsupervised domain adaptation algorit...

0 Muhammad Ghifary, et al. ∙

Wen Li

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