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09/13/2022
M^2-3DLaneNet: Multi-Modal 3D Lane Detection
Estimating accurate lane lines in 3D space remains challenging due to th...
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07/05/2022
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Recent progress on 3D scene understanding has explored visual grounding ...
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06/21/2022
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Integrating multi-modal data to improve medical image analysis has recei...
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06/12/2022
Universality and approximation bounds for echo state networks with random weights
We study the uniform approximation of echo state networks with randomly ...
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04/06/2022
Towards An End-to-End Framework for Flow-Guided Video Inpainting
Optical flow, which captures motion information across frames, is exploi...
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02/13/2022
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Encrypted traffic classification requires discriminative and robust traf...
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12/22/2021
CLEVR3D: Compositional Language and Elementary Visual Reasoning for Question Answering in 3D Real-World Scenes
3D scene understanding is a relatively emerging research field. In this ...
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03/01/2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
Compared with the visual grounding in 2D images, the natural-language-gu...
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11/25/2020
Delving Deep into Label Smoothing
Label smoothing is an effective regularization tool for deep neural netw...
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10/15/2020
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
Developing conversational agents to interact with patients and provide p...
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01/08/2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Automatically detecting software vulnerabilities is an important problem...
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10/24/2019
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
Real-time segmentation of surgical instruments plays a crucial role in r...
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09/23/2019
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Physics-informed neural networks (PINNs) encode physical conservation la...
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11/28/2018
