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08/16/2023
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
This technical report presents AutoGen, a new framework that enables dev...
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08/14/2023
Viia-hand: a Reach-and-grasp Restoration System Integrating Voice interaction, Computer vision and Auditory feedback for Blind Amputees
Visual feedback plays a crucial role in the process of amputation patien...
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07/06/2023
Offline Reinforcement Learning with Imbalanced Datasets
The prevalent use of benchmarks in current offline reinforcement learnin...
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06/30/2023
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
Motion prediction is crucial for autonomous driving systems to understan...
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06/07/2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Offline reinforcement learning (RL) offers an appealing approach to real...
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05/11/2023
FreePoint: Unsupervised Point Cloud Instance Segmentation
Instance segmentation of point clouds is a crucial task in 3D field with...
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05/08/2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
Masked signal modeling has greatly advanced self-supervised pre-training...
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04/18/2023
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies
Spatiotemporal (ST) data collected by sensors can be represented as mult...
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03/28/2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Most offline reinforcement learning (RL) methods suffer from the trade-o...
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03/21/2023
Learning Context-aware Classifier for Semantic Segmentation
Semantic segmentation is still a challenging task for parsing diverse co...
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10/27/2022
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN
The second-order training methods can converge much faster than first-or...
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10/15/2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Offline reinforcement learning (RL) methods can generally be categorized...
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10/11/2022
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
As a pioneering work exploring transformer architecture for 3D point clo...
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09/27/2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Predicting multimodal future behavior of traffic participants is essenti...
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09/20/2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge – Motion Prediction
In this report, we present the 1st place solution for motion prediction ...
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07/28/2022
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image
Vascular segmentation extracts blood vessels from images and serves as t...
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07/03/2022
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds
To boost a detector for single-frame 3D object detection, we present a n...
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06/30/2022
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
This paper presents a new approach to boost a single-modality (LiDAR) 3D...
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06/06/2022
Global Mixup: Eliminating Ambiguity with Clustering
Data augmentation with Mixup has been proven an effective method to regu...
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05/18/2022
i-MYO: A Hybrid Prosthetic Hand Control System based on Eye-tracking, Augmented Reality and Myoelectric signal
Dexterous prosthetic hands have better grasp performance than traditiona...
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04/04/2022
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
Deep learning approaches achieve prominent success in 3D semantic segmen...
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03/28/2022
Stratified Transformer for 3D Point Cloud Segmentation
3D point cloud segmentation has made tremendous progress in recent years...
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03/11/2022
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
The training phases of Deep neural network (DNN) consumes enormous proce...
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03/09/2022
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction
Vision transformer (ViT) has achieved competitive accuracy on a variety ...
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03/02/2022
A Unified Query-based Paradigm for Point Cloud Understanding
3D point cloud understanding is an important component in autonomous dri...
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01/30/2022
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
Processing-in-memory (PIM) architectures have demonstrated great potenti...
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12/30/2021
INTCP: Information-centric TCP for Satellite Network
Satellite networks are booming to provide high-speed and low latency Int...
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12/15/2021
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores
Accelerating the neural network inference by FPGA has emerged as a popul...
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10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
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06/27/2021
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Semantic segmentation has made tremendous progress in recent years. Howe...
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05/10/2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
This paper presents AppealNet, a novel edge/cloud collaborative architec...
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04/21/2021
Skimming and Scanning for Untrimmed Video Action Recognition
Video action recognition (VAR) is a primary task of video understanding,...
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04/20/2021
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
We present Self-Ensembling Single-Stage object Detector (SE-SSD) for acc...
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03/26/2021
Bidirectional Projection Network for Cross Dimension Scene Understanding
2D image representations are in regular grids and can be processed effic...
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03/02/2021
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network
Resistive Random-Access-Memory (ReRAM) crossbar is a promising technique...
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01/31/2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
3D object detection is receiving increasing attention from both industry...
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12/05/2020
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Existing single-stage detectors for locating objects in point clouds oft...
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10/11/2020
Generalized Few-Shot Semantic Segmentation
Training semantic segmentation models requires a large amount of finely ...
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04/03/2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Instance segmentation is an important task for scene understanding. Comp...
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12/31/2019
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
We present a novel and high-performance 3D object detection framework, n...
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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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12/10/2019
Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
This paper studies the measurement scheduling problem for a group of N m...
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09/23/2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
We achieve 3D semantic scene labeling by exploring semantic relation bet...
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08/29/2019
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
The high computation and memory storage of large deep neural networks (D...
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04/04/2019
GAN-based method for cyber-intrusion detection
Ubiquitous cyber-intrusions endanger the security of our devices constan...
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10/19/2018
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators
Neural approximate computing gains enormous energy-efficiency at the cos...
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07/27/2018
AXNet: ApproXimate computing using an end-to-end trainable neural network
Neural network based approximate computing is a universal architecture p...
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05/23/2018