b'Jie Zhou'

research

∙ 07/04/2022

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks

In this paper, we present a new approach for model acceleration by explo...

Yongming Rao, et al. ∙

research

∙ 06/25/2022

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning

Thanks to the efficient retrieval speed and low storage consumption, lea...

Jianglin Lu, et al. ∙

research

∙ 06/25/2022

Probing Causes of Hallucinations in Neural Machine Translations

Hallucination, one kind of pathological translations that bothers Neural...

Jianhao Yan, et al. ∙

research

∙ 06/20/2022

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

In this paper, we propose a Shapley value based method to evaluate opera...

Han Xiao, et al. ∙

research

∙ 06/06/2022

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

This paper presents a language-powered paradigm for ordinal regression. ...

Wanhua Li, et al. ∙

research

∙ 05/31/2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

Structured sentiment analysis, which aims to extract the complex semanti...

Qi Zhang, et al. ∙

research

∙ 05/31/2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments

Previous studies about event-level sentiment analysis (SA) usually model...

Qi Zhang, et al. ∙

research

∙ 05/26/2022

SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation

Conventional point cloud semantic segmentation methods usually employ an...

Ziyi Wang, et al. ∙

research

∙ 05/19/2022

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

In this paper, we present BEVerse, a unified framework for 3D perception...

Yunpeng Zhang, et al. ∙

research

∙ 05/09/2022

Introspective Deep Metric Learning

This paper proposes an introspective deep metric learning (IDML) framewo...

Chengkun Wang, et al. ∙

research

∙ 05/08/2022

Scheduled Multi-task Learning for Neural Chat Translation

Neural Chat Translation (NCT) aims to translate conversational text into...

Yunlong Liang, et al. ∙

research

∙ 05/05/2022

Gait Recognition in the Wild: A Benchmark

Gait benchmarks empower the research community to train and evaluate hig...

Zheng Zhu, et al. ∙

research

∙ 05/02/2022

Monocular 3D Fingerprint Reconstruction and Unwarping

Compared with contact-based fingerprint acquisition techniques, contactl...

Zhe Cui, et al. ∙

research

∙ 05/02/2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge

Conversational Causal Emotion Entailment aims to detect causal utterance...

Jiangnan Li, et al. ∙

research

∙ 05/01/2022

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction

Implicit event argument extraction (EAE) aims to identify arguments that...

Jiaju Lin, et al. ∙

research

∙ 04/25/2022

Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting

Self-augmentation has received increasing research interest recently to ...

Linzhi Wu, et al. ∙

research

∙ 04/24/2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training

Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...

Yuanxin Liu, et al. ∙

research

∙ 04/21/2022

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Face benchmarks empower the research community to train and evaluate hig...

Zheng Zhu, et al. ∙

research

∙ 04/19/2022

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation

Generating adversarial examples for Neural Machine Translation (NMT) wit...

Siyu Lai, et al. ∙

research

∙ 04/12/2022

HyperDet3D: Learning a Scene-conditioned 3D Object Detector

A bathtub in a library, a sink in an office, a bed in a laundry room – t...

Yu Zheng, et al. ∙

research

∙ 04/07/2022

FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment

Most existing action quality assessment methods rely on the deep feature...

Jinglin Xu, et al. ∙

research

∙ 04/07/2022

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

Depth estimation from images serves as the fundamental step of 3D percep...

Yi Wei, et al. ∙

research

∙ 04/02/2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

Existing reference-free metrics have obvious limitations for evaluating ...

Pei Ke, et al. ∙

research

∙ 03/28/2022

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

In this paper, we propose the LiDAR Distillation to bridge the domain ga...

Yi Wei, et al. ∙

research

∙ 03/28/2022

Attributable Visual Similarity Learning

This paper proposes an attributable visual similarity learning (AVSL) fr...

Borui Zhang, et al. ∙

research

∙ 03/26/2022

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

Action recognition models have shown a promising capability to classify ...

Muheng Li, et al. ∙

research

∙ 03/25/2022

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Human behavior has the nature of indeterminacy, which requires the pedes...

Tianpei Gu, et al. ∙

research

∙ 03/23/2022

A Survey on Cross-Lingual Summarization

Cross-lingual summarization is the task of generating a summary in one l...

Jiaan Wang, et al. ∙

research

∙ 03/16/2022

Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene

Visual dialog has witnessed great progress after introducing various vis...

Duo Zheng, et al. ∙

research

∙ 03/12/2022

ELLE: Efficient Lifelong Pre-training for Emerging Data

Current pre-trained language models (PLM) are typically trained with sta...

Yujia Qin, et al. ∙

research

∙ 03/08/2022

A Variational Hierarchical Model for Neural Cross-Lingual Summarization

The goal of the cross-lingual summarization (CLS) is to convert a docume...

Yunlong Liang, et al. ∙

research

∙ 03/07/2022

Towards Robust Online Dialogue Response Generation

Although pre-trained sequence-to-sequence models have achieved great suc...

Leyang Cui, et al. ∙

research

∙ 03/06/2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Token-level adaptive training approaches can alleviate the token imbalan...

Songming Zhang, et al. ∙

research

∙ 03/02/2022

TSAM: A Two-Stream Attention Model for Causal Emotion Entailment

Causal Emotion Entailment (CEE) aims to discover the potential causes be...

Duzhen Zhang, et al. ∙

research

∙ 02/28/2022

Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation

Most dominant neural machine translation (NMT) models are restricted to ...

Chulun Zhou, et al. ∙

research

∙ 02/28/2022

MSCTD: A Multimodal Sentiment Chat Translation Dataset

Multimodal machine translation and textual chat translation have receive...

Yunlong Liang, et al. ∙

research

∙ 02/11/2022

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

We present ClidSum, a benchmark dataset for building cross-lingual summa...

Jiaan Wang, et al. ∙

research

∙ 01/29/2022

ApolloRL: a Reinforcement Learning Platform for Autonomous Driving

We introduce ApolloRL, an open platform for research in reinforcement le...

Fei Gao, et al. ∙

research

∙ 01/14/2022

Mental Health Assessment for the Chatbots

Previous researches on dialogue system assessment usually focus on the q...

Yong Shan, et al. ∙

research

∙ 01/12/2022

Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution

Reference-based super-resolution (RefSR) has made significant progress i...

Bin Xia, et al. ∙

research

∙ 01/11/2022

Efficient Non-Local Contrastive Attention for Image Super-Resolution

Non-Local Attention (NLA) brings significant improvement for Single Imag...

Bin Xia, et al. ∙

research

∙ 12/23/2021

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network

Current fully-supervised facial landmark detection methods have progress...

Jun Wan, et al. ∙

research

∙ 12/22/2021

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

As real-scanned point clouds are mostly partial due to occlusions and vi...

Liang Pan, et al. ∙

research

∙ 12/14/2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models

As many fine-tuned pre-trained language models (PLMs) with promising per...

Lei Li, et al. ∙

research

∙ 12/02/2021

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Recent progress has shown that large-scale pre-training using contrastiv...

Yongming Rao, et al. ∙

research

∙ 11/29/2021

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

We present Point-BERT, a new paradigm for learning Transformers to gener...

Xumin Yu, et al. ∙

research

∙ 11/12/2021

On Transferability of Prompt Tuning for Natural Language Understanding

Prompt tuning (PT) is a promising parameter-efficient method to utilize ...

Yusheng Su, et al. ∙

research

∙ 10/24/2021

Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization

Recently, deep hashing methods have been widely used in image retrieval ...

Jianglin Lu, et al. ∙

research

∙ 10/15/2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning

How can pre-trained language models (PLMs) learn universal representatio...

Yujia Qin, et al. ∙

research

∙ 10/15/2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Backdoor attacks, which maliciously control a well-trained model's outpu...

Wenkai Yang, et al. ∙

Jie Zhou

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