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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 ...
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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...
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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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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...
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08/23/2023
A Survey for Federated Learning Evaluations: Goals and Measures
Evaluation is a systematic approach to assessing how well a system achie...
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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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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...
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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...
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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...
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07/26/2023
Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks
RDMA has been widely adopted for high-speed datacenter networks. However...
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07/11/2023
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
As machine learning gains prominence in various sectors of society for a...
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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...
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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...
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06/15/2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Recent advancements in vision foundation models (VFMs) have opened up ne...
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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...
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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...
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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...
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05/24/2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
We propose a general learning framework for the protection mechanisms th...
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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...
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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...
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04/19/2023
Transformer-Based Visual Segmentation: A Survey
Visual segmentation seeks to partition images, video frames, or point cl...
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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...
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04/11/2023
A Game-theoretic Framework for Federated Learning
In federated learning, benign participants aim to optimize a global mode...
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04/10/2023
Probably Approximately Correct Federated Learning
Federated learning (FL) is a new distributed learning paradigm, with pri...
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04/04/2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Vertical federated learning (VFL) is a promising category of federated l...
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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 ...
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03/30/2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
The robustness of 3D perception systems under natural corruptions from e...
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03/30/2023
Mixed Autoencoder for Self-supervised Visual Representation Learning
Masked Autoencoder (MAE) has demonstrated superior performance on variou...
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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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03/22/2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
Multi-agent collaborative perception (MCP) has recently attracted much a...
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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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03/11/2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Referring image segmentation segments an image from a language expressio...
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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...
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02/11/2023
Local spectral attention for full-band speech enhancement
Attention mechanism has been widely utilized in speech enhancement (SE) ...
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02/11/2023
Attention does not guarantee best performance in speech enhancement
Attention mechanism has been widely utilized in speech enhancement (SE) ...
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01/03/2023
Boosting Neural Networks to Decompile Optimized Binaries
Decompilation aims to transform a low-level program language (LPL) (eg.,...
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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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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 ...
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10/27/2022
Boosting Point Clouds Rendering via Radiance Mapping
Recent years we have witnessed rapid development in NeRF-based image ren...
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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...
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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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09/20/2022
Understanding Real-world Threats to Deep Learning Models in Android Apps
Famous for its superior performance, deep learning (DL) has been popular...
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09/16/2022
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
In unsupervised domain adaptation (UDA), directly adapting from the sour...
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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...
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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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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...
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07/09/2022
Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain
With the broad application of deep neural networks (DNNs), backdoor atta...
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07/04/2022