b'Kai Chen'

research

∙ 09/18/2023

Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection

Point cloud-based open-vocabulary 3D object detection aims to detect 3D ...

0 Chenming Zhu, et al. ∙

research

∙ 09/09/2023

Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing

While enjoying the great achievements brought by deep learning (DL), peo...

0 Jinwen He, et al. ∙

research

∙ 09/06/2023

Demystifying RCE Vulnerabilities in LLM-Integrated Apps

In recent years, Large Language Models (LLMs) have demonstrated remarkab...

0 Tong Liu, et al. ∙

research

∙ 09/02/2023

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries

Accurate segmentation of surgical instrument tip is an important task fo...

0 Jiaqi Liu, et al. ∙

research

∙ 08/23/2023

A Survey for Federated Learning Evaluations: Goals and Measures

Evaluation is a systematic approach to assessing how well a system achie...

0 Di Chai, et al. ∙

research

∙ 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...

0 Zhenhua Wang, et al. ∙

research

∙ 08/10/2023

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

One critical challenge in 6D object pose estimation from a single RGBD i...

0 Jun Zhou, et al. ∙

research

∙ 08/05/2023

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution

Recent years have witnessed a few attempts of vision transformers for si...

0 Yong Liu, et al. ∙

research

∙ 07/31/2023

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Reinforcement learning is still struggling with solving long-horizon sur...

0 Tao Huang, et al. ∙

research

∙ 07/26/2023

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks

RDMA has been widely adopted for high-speed datacenter networks. However...

0 Wenxue Li, et al. ∙

research

∙ 07/11/2023

ConFL: Constraint-guided Fuzzing for Machine Learning Framework

As machine learning gains prominence in various sectors of society for a...

0 Zhao Liu, et al. ∙

research

∙ 07/07/2023

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Instruction tuning large language model (LLM) on image-text pairs has ac...

0 Shilong Zhang, et al. ∙

research

∙ 06/28/2023

VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing

Vertical Federated Learning (VFL) has emerged as one of the most predomi...

0 Mingxuan Fan, et al. ∙

research

∙ 06/15/2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Recent advancements in vision foundation models (VFMs) have opened up ne...

2 Youquan Liu, et al. ∙

research

∙ 06/07/2023

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt

Diffusion models have attracted significant attention due to their remar...

0 Kai Chen, et al. ∙

research

∙ 05/31/2023

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model

Constructing a highly accurate handwritten OCR system requires large amo...

0 Haisong Ding, et al. ∙

research

∙ 05/25/2023

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition

There are more than 80,000 character categories in Chinese while most of...

0 Dongnan Gui, et al. ∙

research

∙ 05/24/2023

Theoretically Principled Federated Learning for Balancing Privacy and Utility

We propose a general learning framework for the protection mechanisms th...

0 Xiaojin Zhang, et al. ∙

research

∙ 05/08/2023

MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

We present a vision and language model named MultiModal-GPT to conduct m...

4 Tao Gong, et al. ∙

research

∙ 05/07/2023

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion

Federated learning (FL) enables participating parties to collaboratively...

0 Xiaojin Zhang, et al. ∙

research

∙ 04/19/2023

Transformer-Based Visual Segmentation: A Survey

Visual segmentation seeks to partition images, video frames, or point cl...

24 Xiangtai Li, et al. ∙

research

∙ 04/13/2023

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

The recent advances in camera-based bird's eye view (BEV) representation...

10 Shaoyuan Xie, et al. ∙

research

∙ 04/11/2023

A Game-theoretic Framework for Federated Learning

In federated learning, benign participants aim to optimize a global mode...

0 Xiaojin Zhang, et al. ∙

research

∙ 04/10/2023

Probably Approximately Correct Federated Learning

Federated learning (FL) is a new distributed learning paradigm, with pri...

0 Xiaojin Zhang, et al. ∙

research

∙ 04/04/2023

A Survey on Vertical Federated Learning: From a Layered Perspective

Vertical federated learning (VFL) is a promising category of federated l...

0 Liu Yang, et al. ∙

research

∙ 04/03/2023

Integrated Decision-Making and Control for Urban Autonomous Driving with Traffic Rules Compliance

In urban driving scenarios, autonomous vehicles are expected to conform ...

0 Haichao Liu, et al. ∙

research

∙ 03/30/2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

The robustness of 3D perception systems under natural corruptions from e...

10 Lingdong Kong, et al. ∙

research

∙ 03/30/2023

Mixed Autoencoder for Self-supervised Visual Representation Learning

Masked Autoencoder (MAE) has demonstrated superior performance on variou...

0 Kai Chen, et al. ∙

research

∙ 03/22/2023

Dense Distinct Query for End-to-End Object Detection

One-to-one label assignment in object detection has successfully obviate...

2 Shilong Zhang, et al. ∙

research

∙ 03/22/2023

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

Multi-agent collaborative perception (MCP) has recently attracted much a...

0 Tianhang Wang, et al. ∙

research

∙ 03/13/2023

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Recent studies on 2D pose estimation have achieved excellent performance...

0 Tao Jiang, et al. ∙

research

∙ 03/11/2023

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation

Referring image segmentation segments an image from a language expressio...

0 Zhao Yang, et al. ∙

research

∙ 02/20/2023

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Task automation of surgical robot has the potentials to improve surgical...

0 Tao Huang, et al. ∙

research

∙ 02/11/2023

Local spectral attention for full-band speech enhancement

Attention mechanism has been widely utilized in speech enhancement (SE) ...

0 Zhongshu Hou, et al. ∙

research

∙ 02/11/2023

Attention does not guarantee best performance in speech enhancement

Attention mechanism has been widely utilized in speech enhancement (SE) ...

0 Zhongshu Hou, et al. ∙

research

∙ 01/03/2023

Boosting Neural Networks to Decompile Optimized Binaries

Decompilation aims to transform a low-level program language (LPL) (eg.,...

0 Ying Cao, et al. ∙

research

∙ 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...

7 Chengqi Lyu, et al. ∙

research

∙ 12/04/2022

SoK: Fully Homomorphic Encryption Accelerators

Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-...

0 Junxue Zhang, et al. ∙

research

∙ 12/01/2022

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit

Emotions play an important role in interpersonal interactions and social...

0 Kai Chen, et al. ∙

research

∙ 11/03/2022

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS

Most existing methods for category-level pose estimation rely on object ...

0 Kai Chen, et al. ∙

research

∙ 10/27/2022

Boosting Point Clouds Rendering via Radiance Mapping

Recent years we have witnessed rapid development in NeRF-based image ren...

0 Xiaoyang Huang, et al. ∙

research

∙ 10/17/2022

A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information

Unlike traditional static deep neural networks (DNNs), dynamic neural ne...

1 Pan Li, et al. ∙

research

∙ 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...

5 Haodong Duan, et al. ∙

research

∙ 09/20/2022

Understanding Real-world Threats to Deep Learning Models in Android Apps

Famous for its superior performance, deep learning (DL) has been popular...

0 Zizhuang Deng, et al. ∙

research

∙ 09/16/2022

Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

In unsupervised domain adaptation (UDA), directly adapting from the sour...

3 Lin Chen, et al. ∙

research

∙ 09/08/2022

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning

Recent years have witnessed significant success in Self-Supervised Learn...

8 Peizhuo Lv, et al. ∙

research

∙ 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...

0 Xinjiang Wang, et al. ∙

research

∙ 07/22/2022

Inference skipping for more efficient real-time speech enhancement with parallel RNNs

Deep neural network (DNN) based speech enhancement models have attracted...

0 Xiaohuai Le, et al. ∙

research

∙ 07/09/2022

Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

With the broad application of deep neural networks (DNNs), backdoor atta...

0 Chang Yue, et al. ∙

research

∙ 07/04/2022

Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation

The recently proposed semi-blind source separation (SBSS) method for non...

0 Guoliang Cheng, et al. ∙

Kai Chen

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