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09/06/2023
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
In recent years, Large Language Models (LLMs) have demonstrated remarkab...
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08/16/2023
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Large language models (LLMs), such as ChatGPT, have emerged with astonis...
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03/22/2023
Dense Distinct Query for End-to-End Object Detection
One-to-one label assignment in object detection has successfully obviate...
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03/13/2023
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
Recent studies on 2D pose estimation have achieved excellent performance...
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12/14/2022
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
In this paper, we aim to design an efficient real-time object detector t...
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12/04/2022
SoK: Fully Homomorphic Encryption Accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-...
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12/01/2022
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
Emotions play an important role in interpersonal interactions and social...
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10/12/2022
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
Graph convolution networks (GCN) have been widely used in skeleton-based...
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09/04/2022
Consistent Teacher Provides Better Supervision in Semi-supervised Object Detection
In this study, we dive deep into the unique challenges in semi-supervise...
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05/19/2022
PYSKL: Towards Good Practices for Skeleton Action Recognition
We present PYSKL: an open-source toolbox for skeleton-based action recog...
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04/28/2022
MMRotate: A Rotated Object Detection Benchmark using Pytorch
We present an open-source toolbox, named MMRotate, which provides a cohe...
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10/25/2021
STransGAN: An Empirical Study on Transformer in GANs
Transformer becomes prevalent in computer vision, especially for high-le...
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08/19/2021
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks
Category-level 6D pose estimation, aiming to predict the location and or...
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08/14/2021
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
We present MMOCR-an open-source toolbox which provides a comprehensive p...
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07/12/2021
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement
The dual-path RNN (DPRNN) was proposed to more effectively model extreme...
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06/30/2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
Data-driven approaches have been applied to many problems in urban compu...
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05/19/2021
Federated Singular Vector Decomposition
With the promulgation of data protection laws (e.g., GDPR in 2018), priv...
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08/23/2020
Seesaw Loss for Long-Tailed Instance Segmentation
This report presents the approach used in the submission of the LVIS Cha...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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04/09/2019
Prime Sample Attention in Object Detection
It is a common paradigm in object detection frameworks to treat all samp...
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02/03/2019
Zipper Stack: Shadow Stacks Without Shadow
Return-Oriented Programming (ROP) is a typical attack technique that can...
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08/03/2018
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes
Multi-Task Gaussian processes (MTGPs) have shown a significant progress ...
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04/23/2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Current end-to-end machine reading and question answering (Q&A) models a...
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02/25/2018
Multi-channel Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker
Adaptive algorithm based on multi-channel linear prediction is an effect...
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01/24/2018
