b'Xiangyu Zhang'

research

∙ 09/08/2023

Language Prompt for Autonomous Driving

A new trend in the computer vision community is to capture objects of in...

0 Dongming Wu, et al. ∙

research

∙ 09/02/2023

RevColV2: Exploring Disentangled Representations in Masked Image Modeling

Masked image modeling (MIM) has become a prevalent pre-training setup fo...

0 Qi Han, et al. ∙

research

∙ 08/29/2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model

Binary similarity analysis determines if two binary executables are from...

0 Xiangzhe Xu, et al. ∙

research

∙ 08/20/2023

Scene-Driven Exploration and GUI Modeling for Android Apps

Due to the competitive environment, mobile apps are usually produced und...

0 Xiangyu Zhang, et al. ∙

research

∙ 08/19/2023

On-the-fly Improving Performance of Deep Code Models via Input Denoising

Deep learning has been widely adopted to tackle various code-based tasks...

0 Zhao Tian, et al. ∙

research

∙ 08/18/2023

Far3D: Expanding the Horizon for Surround-view 3D Object Detection

Recently 3D object detection from surround-view images has made notable ...

0 Xiaohui Jiang, et al. ∙

research

∙ 08/14/2023

SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers

This paper presents a module, Spatial Cross-scale Convolution (SCSC), wh...

0 Xijun Wang, et al. ∙

research

∙ 08/07/2023

POSIT: Promotion of Semantic Item Tail via Adversarial Learning

In many recommender problems, a handful of popular items (e.g. movies/TV...

0 Qiuling Xu, et al. ∙

research

∙ 08/04/2023

ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP

Backdoor attacks have emerged as a prominent threat to natural language ...

0 Lu Yan, et al. ∙

research

∙ 07/18/2023

OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation

Referring video object segmentation (RVOS) aims at segmenting an object ...

0 Dongming Wu, et al. ∙

research

∙ 07/17/2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning

In multi-timescale multi-agent reinforcement learning (MARL), agents int...

0 Patrick Emami, et al. ∙

research

∙ 06/06/2023

Impact of Large Language Models on Generating Software Specifications

Software specifications are essential for ensuring the reliability of so...

0 Danning Xie, et al. ∙

research

∙ 06/05/2023

LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis

Decompilation aims to recover the source code form of a binary executabl...

0 Xiangzhe Xu, et al. ∙

research

∙ 05/27/2023

Backdooring Neural Code Search

Reusing off-the-shelf code snippets from online repositories is a common...

0 Weisong Sun, et al. ∙

research

∙ 05/23/2023

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

Although end-to-end multi-object trackers like MOTR enjoy the merits of ...

0 En Yu, et al. ∙

research

∙ 05/22/2023

Extracting Protocol Format as State Machine via Controlled Static Loop Analysis

Reverse engineering of protocol message formats is critical for many sec...

0 Qingkai Shi, et al. ∙

research

∙ 05/19/2023

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications

Inferring protocol formats is critical for many security applications. H...

0 Qingkai Shi, et al. ∙

research

∙ 04/28/2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving

Multi-sensor fusion (MSF) is widely adopted for perception in autonomous...

3 Zhiyuan Cheng, et al. ∙

research

∙ 04/22/2023

Self-supervised Learning by View Synthesis

We present view-synthesis autoencoders (VSA) in this paper, which is a s...

4 Shaoteng Liu, et al. ∙

research

∙ 04/15/2023

Align-DETR: Improving DETR with Simple IoU-aware BCE loss

DETR has set up a simple end-to-end pipeline for object detection by for...

14 Zhi Cai, et al. ∙

research

∙ 03/23/2023

Detecting Backdoors in Pre-trained Encoders

Self-supervised learning in computer vision trains on unlabeled data, su...

5 Shiwei Feng, et al. ∙

research

∙ 03/21/2023

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

In this paper, we propose a long-sequence modeling framework, named Stre...

8 Shihao Wang, et al. ∙

research

∙ 03/20/2023

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

3D object detectors usually rely on hand-crafted proxies, e.g., anchors ...

8 Yukang Chen, et al. ∙

research

∙ 03/09/2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Due to the development of pre-trained language models, automated code ge...

0 Guang Yang, et al. ∙

research

∙ 03/06/2023

Referring Multi-Object Tracking

Existing referring understanding tasks tend to involve the detection of ...

2 Dongming Wu, et al. ∙

research

∙ 02/05/2023

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Mainstream 3D representation learning approaches are built upon contrast...

7 Zekun Qi, et al. ∙

research

∙ 02/03/2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Automated Program Repair (APR) improves software reliability by generati...

3 Nan Jiang, et al. ∙

research

∙ 02/01/2023

A novel approach to detect line emission under high background in high-resolution X-ray spectra

We develop a novel statistical approach to identify emission features or...

0 Xiangyu Zhang, et al. ∙

research

∙ 01/31/2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

Monocular Depth Estimation (MDE) is a critical component in applications...

1 Zhiyuan Cheng, et al. ∙

research

∙ 01/16/2023

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

Deep Learning backdoor attacks have a threat model similar to traditiona...

14 Siyuan Cheng, et al. ∙

research

∙ 01/03/2023

Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection

In this paper, we propose a robust 3D detector, named Cross Modal Transf...

5 Junjie Yan, et al. ∙

research

∙ 01/03/2023

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

A recent study has shown a phenomenon called neural collapse in that the...

13 Zhisheng Zhong, et al. ∙

research

∙ 12/22/2022

Reversible Column Networks

We propose a new neural network design paradigm Reversible Column Networ...

0 Yuxuan Cai, et al. ∙

research

∙ 11/29/2022

Backdoor Vulnerabilities in Normally Trained Deep Learning Models

We conduct a systematic study of backdoor vulnerabilities in normally tr...

16 Guanhong Tao, et al. ∙

research

∙ 11/28/2022

Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach

Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a prom...

0 Xiangyu Zhang, et al. ∙

research

∙ 11/21/2022

Twin-S: A Digital Twin for Skull-base Surgery

Purpose: Digital twins are virtual interactive models of the real world,...

13 Hongchao Shu, et al. ∙

research

∙ 11/19/2022

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

This paper proposes an efficient multi-camera to Bird's-Eye-View (BEV) v...

5 Hongyu Zhou, et al. ∙

research

∙ 11/17/2022

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

In this paper, we propose MOTRv2, a simple yet effective pipeline to boo...

15 Yuang Zhang, et al. ∙

research

∙ 10/27/2022

The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge

We present our 1st place solution to the Group Dance Multiple People Tra...

5 Yuang Zhang, et al. ∙

research

∙ 10/23/2022

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning

Federated Learning (FL) is a distributed learning paradigm that enables ...

1 Kaiyuan Zhang, et al. ∙

research

∙ 10/17/2022

SA4U: Practical Static Analysis for Unit Type Error Detection

Unit type errors, where values with physical unit types (e.g., meters, h...

0 Max Taylor, et al. ∙

research

∙ 10/06/2022

Q-LSTM Language Model – Decentralized Quantum Multilingual Pre-Trained Language Model for Privacy Protection

Large-scale language models are trained on a massive amount of natural l...

19 Shuyue Stella Li, et al. ∙

research

∙ 09/26/2022

End-to-End Lyrics Recognition with Self-supervised Learning

Lyrics recognition is an important task in music processing. Despite tra...

0 Xiangyu Zhang, et al. ∙

research

∙ 08/18/2022

Differentiable Architecture Search with Random Features

Differentiable architecture search (DARTS) has significantly promoted th...

8 Xuanyang Zhang, et al. ∙

research

∙ 08/08/2022

Understanding Masked Image Modeling via Learning Occlusion Invariant Feature

Recently, Masked Image Modeling (MIM) achieves great success in self-sup...

6 Xiangwen Kong, et al. ∙

research

∙ 07/30/2022

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

We focus on better understanding the critical factors of augmentation-in...

1 Junqiang Huang, et al. ∙

research

∙ 07/11/2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

Deep learning has substantially boosted the performance of Monocular Dep...

0 Zhiyuan Cheng, et al. ∙

research

∙ 07/07/2022

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness

Videos are prone to tampering attacks that alter the meaning and deceive...

0 Yangming Zhou, et al. ∙

research

∙ 06/21/2022

Scaling up Kernels in 3D CNNs

Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...

6 Yukang Chen, et al. ∙

research

∙ 06/18/2022

DECK: Model Hardening for Defending Pervasive Backdoors

Pervasive backdoors are triggered by dynamic and pervasive input perturb...

7 Guanhong Tao, et al. ∙

Xiangyu Zhang

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