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09/08/2023
Language Prompt for Autonomous Driving
A new trend in the computer vision community is to capture objects of in...
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09/02/2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling
Masked image modeling (MIM) has become a prevalent pre-training setup fo...
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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...
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08/20/2023
Scene-Driven Exploration and GUI Modeling for Android Apps
Due to the competitive environment, mobile apps are usually produced und...
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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...
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08/18/2023
Far3D: Expanding the Horizon for Surround-view 3D Object Detection
Recently 3D object detection from surround-view images has made notable ...
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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...
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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...
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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 ...
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07/18/2023
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims at segmenting an object ...
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07/17/2023
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning
In multi-timescale multi-agent reinforcement learning (MARL), agents int...
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06/06/2023
Impact of Large Language Models on Generating Software Specifications
Software specifications are essential for ensuring the reliability of so...
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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...
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05/27/2023
Backdooring Neural Code Search
Reusing off-the-shelf code snippets from online repositories is a common...
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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 ...
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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...
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05/19/2023
Lifting Network Protocol Implementation to Precise Format Specification with Security Applications
Inferring protocol formats is critical for many security applications. H...
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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...
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04/22/2023
Self-supervised Learning by View Synthesis
We present view-synthesis autoencoders (VSA) in this paper, which is a s...
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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...
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03/23/2023
Detecting Backdoors in Pre-trained Encoders
Self-supervised learning in computer vision trains on unlabeled data, su...
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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...
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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 ...
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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...
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03/06/2023
Referring Multi-Object Tracking
Existing referring understanding tasks tend to involve the detection of ...
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02/05/2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Mainstream 3D representation learning approaches are built upon contrast...
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02/03/2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Automated Program Repair (APR) improves software reliability by generati...
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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...
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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...
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01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
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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...
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01/03/2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
A recent study has shown a phenomenon called neural collapse in that the...
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12/22/2022
Reversible Column Networks
We propose a new neural network design paradigm Reversible Column Networ...
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11/29/2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models
We conduct a systematic study of backdoor vulnerabilities in normally tr...
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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...
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11/21/2022
Twin-S: A Digital Twin for Skull-base Surgery
Purpose: Digital twins are virtual interactive models of the real world,...
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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...
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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...
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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...
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10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
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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...
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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...
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09/26/2022
End-to-End Lyrics Recognition with Self-supervised Learning
Lyrics recognition is an important task in music processing. Despite tra...
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08/18/2022
Differentiable Architecture Search with Random Features
Differentiable architecture search (DARTS) has significantly promoted th...
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08/08/2022
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Recently, Masked Image Modeling (MIM) achieves great success in self-sup...
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07/30/2022
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
We focus on better understanding the critical factors of augmentation-in...
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07/11/2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Deep learning has substantially boosted the performance of Monocular Dep...
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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...
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06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
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06/18/2022