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09/12/2023
Modality Unifying Network for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging tas...
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09/06/2023
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Reconstructing both objects and hands in 3D from a single RGB image is c...
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08/19/2023
Open, Closed, or Small Language Models for Text Classification?
Recent advancements in large language models have demonstrated remarkabl...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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06/26/2023
Blockchain technology research and application: a systematic literature review and future trends
Blockchain, as the basis for cryptocurrencies, has received extensive at...
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06/14/2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Large Language Models (LLMs) are gaining increasing attention due to the...
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06/13/2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
We present WebGLM, a web-enhanced question-answering system based on the...
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04/11/2023
High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough
NVMe(Non-Volatile Memory Express) is an industry standard for solid-stat...
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03/30/2023
Online Camera-to-ground Calibration for Autonomous Driving
Online camera-to-ground calibration is to generate a non-rigid body tran...
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03/17/2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
We study the problem of outlier correspondence pruning for non-rigid poi...
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03/14/2023
Rotation-Invariant Transformer for Point Cloud Matching
The intrinsic rotation invariance lies at the core of matching point clo...
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03/02/2023
Task-Specific Context Decoupling for Object Detection
Classification and localization are two main sub-tasks in object detecti...
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02/01/2023
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Code generation models based on the pre-training and fine-tuning paradig...
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09/27/2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Successful point cloud registration relies on accurate correspondences e...
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03/16/2022
Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification
Accurate and efficient lumbar spine disease identification is crucial fo...
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03/09/2022
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Pose estimation of 3D objects in monocular images is a fundamental and l...
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02/14/2022
Geometric Transformer for Fast and Robust Point Cloud Registration
We study the problem of extracting accurate correspondences for point cl...
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01/26/2022
Training Vision Transformers with Only 2040 Images
Vision Transformers (ViTs) is emerging as an alternative to convolutiona...
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11/30/2021
A Unified Pruning Framework for Vision Transformers
Recently, vision transformer (ViT) and its variants have achieved promis...
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10/26/2021
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
We study the problem of extracting correspondences between a pair of poi...
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04/20/2021
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Inefficient traffic control may cause numerous problems such as traffic ...
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04/11/2021
Semi-G-normal: a Hybrid between Normal and G-normal
The G-expectation framework is a generalization of the classical probabi...
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01/12/2021
Mixup Without Hesitation
Mixup linearly interpolates pairs of examples to form new samples, which...
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11/27/2020
Robust Attacks on Deep Learning Face Recognition in the Physical World
Deep neural networks (DNNs) have been increasingly used in face recognit...
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11/04/2020
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
Real-time understanding in video is crucial in various AI applications s...
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02/28/2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
The emerging edge computing has promoted immense interests in compacting...
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05/10/2019
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization
For SGD based distributed stochastic optimization, computation complexit...
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05/09/2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Recent developments on large-scale distributed machine learning applicat...
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11/06/2018
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
We propose 'Hide-and-Seek' a general purpose data augmentation technique...
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11/01/2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Many knowledge graph embedding methods operate on triples and are theref...
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09/05/2018
Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach
We propose a new primal-dual homotopy smoothing algorithm for a linearly...
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07/17/2018
Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication
For large scale non-convex stochastic optimization, parallel mini-batch ...
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07/10/2018
Using Complex Network Theory for Temporal Locality in Network Traffic Flows
Monitoring the interaction behaviors of network traffic flows and detect...
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05/27/2018
Fast K-Means Clustering with Anderson Acceleration
We propose a novel method to accelerate Lloyd's algorithm for K-Means cl...
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05/21/2018
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization
As it requires a huge number of parameters when exposed to high dimensio...
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04/10/2018
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors
Modern object detectors usually suffer from low accuracy issues, as fore...
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03/24/2018
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Compact neural networks are inclined to exploit "sparsely-connected" con...
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01/10/2018
Learning Aided Optimization for Energy Harvesting Devices with Outdated State Information
This paper considers utility optimal power control for energy harvesting...
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08/12/2017
Online Convex Optimization with Stochastic Constraints
This paper considers online convex optimization (OCO) with stochastic co...
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05/05/2017
S-OHEM: Stratified Online Hard Example Mining for Object Detection
One of the major challenges in object detection is to propose detectors ...
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02/20/2017
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
FPGA-based hardware accelerators for convolutional neural networks (CNNs...
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12/12/2016
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing
In this paper, we develop a binary convolutional encoder-decoder network...
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04/08/2016