b'Liang Lin'

research

∙ 08/07/2022

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec

Ensemble-based large-scale simulation of dynamical systems is essential ...

Zhongzhan Huang, et al. ∙

research

∙ 07/31/2022

Robust Real-World Image Super-Resolution against Adversarial Attacks

Recently deep neural networks (DNNs) have achieved significant success i...

Jiutao Yue, et al. ∙

research

∙ 07/13/2022

Adversarially-Aware Robust Object Detector

Object detection, as a fundamental computer vision task, has achieved a ...

Ziyi Dong, et al. ∙

research

∙ 07/04/2022

Discourse-Aware Graph Networks for Textual Logical Reasoning

Textual logical reasoning, especially question answering (QA) tasks with...

Yinya Huang, et al. ∙

research

∙ 06/06/2022

Real-World Image Super-Resolution by Exclusionary Dual-Learning

Real-world image super-resolution is a practical image restoration probl...

Hao Li, et al. ∙

research

∙ 05/23/2022

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels

Multi-label image recognition with partial labels (MLR-PL), in which som...

Tianshui Chen, et al. ∙

research

∙ 05/17/2022

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning

Recently, deep learning models have made great progress in MWP solving o...

Zhicheng Yang, et al. ∙

research

∙ 05/07/2022

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution

Due to the sophisticated imaging process, an identical scene captured by...

Xiaoqian Xu, et al. ∙

research

∙ 05/06/2022

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism

Continual learning is a challenging real-world problem for constructing ...

Binbin Yang, et al. ∙

research

∙ 04/08/2022

Semantic Representation and Dependency Learning for Multi-Label Image Recognition

Recently many multi-label image recognition (MLR) works have made signif...

Tao Pu, et al. ∙

research

∙ 03/07/2022

Open Set Domain Adaptation By Novel Class Discovery

In Open Set Domain Adaptation (OSDA), large amounts of target samples ar...

Jingyu Zhuang, et al. ∙

research

∙ 03/04/2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

Training the multi-label image recognition models with partial labels, i...

Tao Pu, et al. ∙

research

∙ 02/26/2022

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning

Recent advances in deep learning significantly boost the performance of ...

Pengxiang Yan, et al. ∙

research

∙ 12/21/2021

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Multi-label image recognition is a fundamental yet practical task becaus...

Tianshui Chen, et al. ∙

research

∙ 11/30/2021

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction

Land remote sensing analysis is a crucial research in earth science. In ...

Lingbo Liu, et al. ∙

research

∙ 11/08/2021

Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy

Aiming at recognizing the samples from novel categories with few referen...

Junying Huang, et al. ∙

research

∙ 10/27/2021

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

Transferring human motion from a source to a target person poses great p...

Bowen Wu, et al. ∙

research

∙ 10/26/2021

Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

Aiming at recognizing and localizing the object of novel categories by a...

Junying Huang, et al. ∙

research

∙ 10/16/2021

Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation

An embodied task such as embodied question answering (EmbodiedQA), requi...

Yang Wu, et al. ∙

research

∙ 09/29/2021

Road Network Guided Fine-Grained Urban Traffic Flow Inference

Accurate inference of fine-grained traffic flow from coarse-grained one ...

Lingbo Liu, et al. ∙

research

∙ 09/19/2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Unifying acoustic and linguistic representation learning has become incr...

Guolin Zheng, et al. ∙

research

∙ 08/22/2021

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift

Recently proposed neural architecture search (NAS) methods co-train bill...

Jiefeng Peng, et al. ∙

research

∙ 08/12/2021

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

Open-set semi-supervised learning (open-set SSL) investigates a challeng...

Junkai Huang, et al. ∙

research

∙ 07/23/2021

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation

Language instruction plays an essential role in the natural language gro...

Bingqian Lin, et al. ∙

research

∙ 07/05/2021

Hybrid and dynamic policy gradient optimization for bipedal robot locomotion

Controlling a non-statically bipedal robot is challenging due to the com...

Changxin Huang, et al. ∙

research

∙ 07/03/2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks

Previous math word problem solvers following the encoder-decoder paradig...

Jinghui Qin, et al. ∙

research

∙ 07/02/2021

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation

Metro origin-destination prediction is a crucial yet challenging task fo...

Lingbo Liu, et al. ∙

research

∙ 06/17/2021

Prototypical Graph Contrastive Learning

Graph-level representations are critical in various real-world applicati...

Shuai Lin, et al. ∙

research

∙ 06/01/2021

Towards Quantifiable Dialogue Coherence Evaluation

Automatic dialogue coherence evaluation has attracted increasing attenti...

Zheng Ye, et al. ∙

research

∙ 05/30/2021

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Automatic math problem solving has recently attracted increasing attenti...

Jiaqi Chen, et al. ∙

research

∙ 04/18/2021

Solving Inefficiency of Self-supervised Representation Learning

Self-supervised learning has attracted great interest due to its tremend...

Guangrun Wang, et al. ∙

research

∙ 03/31/2021

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition

Current state-of-the-art visual recognition systems usually rely on the ...

Guangrun Wang, et al. ∙

research

∙ 02/01/2021

GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer

Non-parallel text style transfer has attracted increasing research inter...

Yukai Shi, et al. ∙

research

∙ 01/26/2021

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Prior highly-tuned image parsing models are usually studied in a certain...

Liang Lin, et al. ∙

research

∙ 01/09/2021

Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition

Beyond generating long and topic-coherent paragraphs in traditional capt...

Fuyu Wang, et al. ∙

research

∙ 12/29/2020

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

Recognizing human emotion/expressions automatically is quite an expected...

Tao Pu, et al. ∙

research

∙ 12/24/2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement

When answering a question, people often draw upon their rich world knowl...

Yinya Huang, et al. ∙

research

∙ 12/22/2020

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

Human doctors with well-structured medical knowledge can diagnose a dise...

Shuai Lin, et al. ∙

research

∙ 12/22/2020

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Low-resource automatic speech recognition (ASR) is challenging, as the l...

Yubei Xiao, et al. ∙

research

∙ 12/08/2020

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting

Crowd counting is a fundamental yet challenging problem, which desires r...

Lingbo Liu, et al. ∙

research

∙ 11/30/2020

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

Although deep reinforcement learning (RL) has been successfully applied ...

Junfan Lin, et al. ∙

research

∙ 10/30/2020

Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation

Panoptic segmentation is posed as a new popular test-bed for the state-o...

Yangxin Wu, et al. ∙

research

∙ 10/15/2020

A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning

Although deep convolutional neural networks (CNNs) have demonstrated rem...

Hongjun Wang, et al. ∙

research

∙ 10/14/2020

Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems

A practical automatic textual math word problems (MWPs) solver should be...

Jinghui Qin, et al. ∙

research

∙ 10/08/2020

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

Automatically evaluating dialogue coherence is a challenging but high-de...

Lishan Huang, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 09/20/2020

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Recognizing multiple labels of an image is a practical yet challenging t...

Tianshui Chen, et al. ∙

research

∙ 09/18/2020

Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos

Temporal grounding of natural language in untrimmed videos is a fundamen...

Jie Wu, et al. ∙

research

∙ 09/17/2020

Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Object detectors are usually trained with large amount of labeled data, ...

Ganlong Zhao, et al. ∙

research

∙ 09/17/2020

Online Alternate Generator against Adversarial Attacks

The field of computer vision has witnessed phenomenal progress in recent...

Haofeng Li, et al. ∙

Liang Lin

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