The Chinese University of Hong Kong

research

∙ 11/18/2021

CLMB: deep contrastive learning for robust metagenomic binning

The reconstruction of microbial genomes from large metagenomic datasets ...

Pengfei Zhang, et al. ∙

research

∙ 11/26/2021

Representation Learning of Logic Circuits

Applying deep learning (DL) techniques in the electronic design automati...

Min Li, et al. ∙

research

∙ 05/15/2020

Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

Training deep neural networks usually requires a large amount of labeled...

Quande Liu, et al. ∙

research

∙ 02/21/2020

Residual Knowledge Distillation

Knowledge distillation (KD) is one of the most potent ways for model com...

Mengya Gao, et al. ∙

research

∙ 08/12/2021

Conditional Temporal Variational AutoEncoder for Action Video Prediction

To synthesize a realistic action sequence based on a single human image,...

Xiaogang Xu, et al. ∙

research

∙ 09/06/2021

Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

3D human shape and pose estimation is the essential task for human motio...

Ziniu Wan, et al. ∙

research

∙ 12/20/2021

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Multiple medical institutions collaboratively training a model using fed...

Meirui Jiang, et al. ∙

research

∙ 11/26/2018

Deep Network Interpolation for Continuous Imagery Effect Transition

Deep convolutional neural network has demonstrated its capability of lea...

Xintao Wang, et al. ∙

research

∙ 12/10/2021

CityNeRF: Building NeRF at City Scale

Neural Radiance Field (NeRF) has achieved outstanding performance in mod...

Yuanbo Xiangli, et al. ∙

research

∙ 05/15/2022

Video Frame Interpolation with Transformer

Video frame interpolation (VFI), which aims to synthesize intermediate f...

Liying Lu, et al. ∙

research

∙ 07/19/2020

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

We present a new loss function called Distribution-Balanced Loss for the...

Tong Wu, et al. ∙

research

∙ 04/01/2020

Learning to Cluster Faces via Confidence and Connectivity Estimation

Face clustering is an essential tool for exploiting the unlabeled face d...

Lei Yang, et al. ∙

research

∙ 12/29/2018

Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis

For recovering 3D object poses from 2D images, a prevalent method is to ...

Jianqiao Wangni, et al. ∙

research

∙ 01/06/2020

Unpaired Multi-modal Segmentation via Knowledge Distillation

Multi-modal learning is typically performed with network architectures c...

Qi Dou, et al. ∙

research

∙ 02/05/2020

Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation

Monocular 3D object detection task aims to predict the 3D bounding boxes...

Yingjie Cai, et al. ∙

research

∙ 03/13/2021

Unsupervised Image Transformation Learning via Generative Adversarial Networks

In this work, we study the image transformation problem by learning the ...

Kaiwen Zha, et al. ∙

research

∙ 01/12/2019

UPSNet: A Unified Panoptic Segmentation Network

In this paper, we propose a unified panoptic segmentation network (UPSNe...

Yuwen Xiong, et al. ∙

research

∙ 01/29/2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Generative Adversarial Networks (GANs) have achieved impressive results ...

David Bau, et al. ∙

research

∙ 04/07/2020

Temporal Pyramid Network for Action Recognition

Visual tempo characterizes the dynamics and the temporal scale of an act...

Ceyuan Yang, et al. ∙

research

∙ 05/15/2020

Semantic Photo Manipulation with a Generative Image Prior

Despite the recent success of GANs in synthesizing images conditioned on...

David Bau, et al. ∙

research

∙ 01/02/2022

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

The demand of competent robot assisted surgeons is progressively expandi...

Yonghao Long, et al. ∙

research

∙ 05/25/2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...

Zhaoyang Lyu, et al. ∙

research

∙ 01/10/2019

Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...

Jiaqi Wang, et al. ∙

research

∙ 03/04/2019

Stochastic Online Learning with Probabilistic Graph Feedback

We consider a problem of stochastic online learning with general probabi...

Shuai Li, et al. ∙

research

∙ 12/09/2019

Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...

Jiaqi Wang, et al. ∙

research

∙ 03/31/2020

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...

Zhuoqian Yang, et al. ∙

research

∙ 02/28/2022

Point Set Self-Embedding

This work presents an innovative method for point set self-embedding, th...

Ruihui Li, et al. ∙

research

∙ 06/20/2019

Human vs Machine Attention in Neural Networks: A Comparative Study

Recent years have witnessed a surge in the popularity of attention mecha...

Qiuxia Lai, et al. ∙

research

∙ 03/09/2021

ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection

We present a new domain adaptive self-training pipeline, named ST3D, for...

Jihan Yang, et al. ∙

research

∙ 01/17/2020

Temporal Interlacing Network

For a long time, the vision community tries to learn the spatio-temporal...

Hao Shao, et al. ∙

research

∙ 02/24/2020

3DSSD: Point-based 3D Single Stage Object Detector

Currently, there have been many kinds of voxel-based 3D single stage det...

Zetong Yang, et al. ∙

research

∙ 07/21/2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...

Jiawei Ren, et al. ∙

research

∙ 02/18/2020

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs

Graph neural networks (GNNs) have received much attention recently becau...

Han Yang, et al. ∙

research

∙ 06/07/2020

Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...

Yue Xu, et al. ∙

research

∙ 05/12/2022

Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects

This letter describes an approach to achieve well-known Chinese cooking ...

Junjia Liu, et al. ∙

research

∙ 06/22/2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...

Guangyong Chen, et al. ∙

research

∙ 08/29/2019

Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention

This paper presents a new approach to recognize elements in floor plan l...

Zhiliang Zeng, et al. ∙

research

∙ 02/12/2020

Real or Not Real, that is the Question

While generative adversarial networks (GAN) have been widely adopted in ...

Yuanbo Xiangli, et al. ∙

research

∙ 03/16/2020

A Rotation-Invariant Framework for Deep Point Cloud Analysis

Recently, many deep neural networks were designed to process 3D point cl...

Xianzhi Li, et al. ∙

research

∙ 12/09/2020

Improving the Fairness of Deep Generative Models without Retraining

Generative Adversarial Networks (GANs) have recently advanced face synth...

Shuhan Tan, et al. ∙

research

∙ 08/30/2021

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Autonomous surgical execution relieves tedious routines and surgeon's fa...

Jiaqi Xu, et al. ∙

research

∙ 12/17/2021

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Semi-supervised action recognition is a challenging but important task d...

Yinghao Xu, et al. ∙

research

∙ 02/28/2019

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Deep convolutional neural networks have achieved remarkable progress on ...

Xiaomeng Li, et al. ∙

research

∙ 05/08/2019

Deep Flow-Guided Video Inpainting

Video inpainting, which aims at filling in missing regions of a video, r...

Rui Xu, et al. ∙

research

∙ 05/07/2019

P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...

Xiao Zhang, et al. ∙

research

∙ 06/12/2020

Knowledge Distillation Meets Self-Supervision

Knowledge distillation, which involves extracting the "dark knowledge" f...

Guodong Xu, et al. ∙

research

∙ 01/12/2022

Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning

It is a challenging task to learn rich and multi-scale spatiotemporal se...

Kunchang Li, et al. ∙

research

∙ 06/06/2020

Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automa...

Luyang Luo, et al. ∙

research

∙ 07/30/2020

Photon: A Robust Cross-Domain Text-to-SQL System

Natural language interfaces to databases (NLIDB) democratize end user ac...

Jichuan Zeng, et al. ∙

research

∙ 08/04/2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

We propose a novel algorithm, named Open-Edit, which is the first attemp...

Xihui Liu, et al. ∙

The Chinese University of Hong Kong

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