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08/31/2023
Enhancing Subtask Performance of Multi-modal Large Language Model
Multi-modal Large Language Model (MLLM) refers to a model expanded from ...
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08/23/2023
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Knowledge base question answering (KBQA) is a critical yet challenging t...
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08/18/2023
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing
Point-cloud-based 3D perception has attracted great attention in various...
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04/19/2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
Split learning of deep neural networks (SplitNN) has provided a promisin...
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04/06/2023
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering
Question Answering (QA) is the task of automatically answering questions...
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02/18/2023
mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
In this work, we consider the deployment of reconfigurable intelligent s...
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12/20/2022
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
Structured tabular data exist across nearly all fields. Reasoning task o...
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11/17/2022
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
3D object detection from multiple image views is a fundamental and chall...
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11/10/2022
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
Document-level relation extraction (DocRE) aims to identify semantic lab...
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09/02/2022
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
Monocular depth estimation is an essential task in the computer vision c...
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07/21/2022
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Point clouds and RGB images are two general perceptional sources in auto...
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07/12/2022
Effective Few-Shot Named Entity Linking by Meta-Learning
Entity linking aims to link ambiguous mentions to their corresponding en...
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05/23/2022
Towards Model Generalization for Monocular 3D Object Detection
Monocular 3D object detection (Mono3D) has achieved tremendous improveme...
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05/11/2022
Libra: In-network Gradient Aggregation for Speeding up Distributed Sparse Deep Training
Distributed sparse deep learning has been widely used in many internet-s...
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04/25/2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
Monocular 3D object detection (Mono3D) has achieved unprecedented succes...
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04/25/2022
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection
3D object detection from multiple image views is a fundamental and chall...
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04/03/2022
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
Monocular depth estimation is a fundamental task in computer vision and ...
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03/27/2022
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation
This paper aims to address the problem of supervised monocular depth est...
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01/25/2022
Image Fragile Watermarking Algorithm Based on Deneighborhood Mapping
To address the security risk caused by fixed offset mapping and the limi...
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01/17/2022
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Object detection through either RGB images or the LiDAR point clouds has...
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12/15/2021
ForgeryNet – Face Forgery Analysis Challenge 2021: Methods and Results
The rapid progress of photorealistic synthesis techniques has reached a ...
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12/09/2021
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Pre-training has become a standard paradigm in many computer vision task...
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07/13/2021
Motion-Aware Robotic 3D Ultrasound
Robotic three-dimensional (3D) ultrasound (US) imaging has been employed...
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07/07/2021
BBRv2+:Towards Balancing Aggressiveness and Fairness with Delay-based Bandwidth Probing
BBRv2, proposed by Google, aims at addressing BBR's shortcomings of unfa...
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06/10/2021
NetFC: enabling accurate floating-point arithmetic on programmable switches
In-network computation has been widely used to accelerate data-intensive...
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10/30/2020
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
Ultrasound (US) imaging is widely employed for diagnosis and staging of ...
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07/03/2020
Cross-layer Path Selection in Multi-path Transport Protocol for Mobile Devices
MPTCP is a new transport protocol that enables mobile devices to use mul...
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02/12/2020
Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods
Since the SARS outbreak in 2003, a lot of predictive epidemiological mod...
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11/13/2019
A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring – Challenges and Opportunities
Non-invasive continuous alcohol monitoring has potential applications in...
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09/16/2019
RVH: Range-Vector Hash for Fast Online Packet Classification
Packet classification according to multi-field ruleset is a key componen...
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06/08/2018
Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search
In this paper, an evolutionary many-objective optimization algorithm bas...
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02/23/2017
