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09/11/2023
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving
In autonomous driving tasks, scene understanding is the first step towar...
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08/07/2023
Energy-Guided Diffusion Model for CBCT-to-CT Synthesis
Cone Beam CT (CBCT) plays a crucial role in Adaptive Radiation Therapy (...
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07/26/2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
Relying on large-scale training data with pixel-level labels, previous e...
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03/17/2023
Towards Safe Propofol Dosing during General Anesthesia Using Deep Offline Reinforcement Learning
Automated anesthesia promises to enable more precise and personalized an...
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11/20/2022
Constraining Multi-scale Pairwise Features between Encoder and Decoder Using Contrastive Learning for Unpaired Image-to-Image Translation
Contrastive learning (CL) has shown great potential in image-to-image tr...
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10/28/2022
KD-EKF: A Kalman Decomposition Based Extended Kalman Filter for Multi-Robot Cooperative Localization
This paper investigates the consistency problem of EKF-based cooperative...
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09/13/2022
A Many-ported and Shared Memory Architecture for High-Performance ADAS SoCs
Increasing investment in computing technologies and the advancements in ...
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06/16/2022
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos
Multimodal sentiment analysis in videos is a key task in many real-world...
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03/19/2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation
High-fidelity quantum dynamics emulators can be used to predict the time...
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01/30/2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Algorithms which minimize the averaged loss have been widely designed fo...
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12/14/2021
New Binary Quantum Codes Constructed from Quasi-Cyclic Codes
It is well known that quantum codes can be constructed by means of class...
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09/07/2021
Instance-dependent Label-noise Learning under a Structural Causal Model
Label noise will degenerate the performance of deep learning algorithms ...
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05/10/2021
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Accurate prediction of pedestrian crossing behaviors by autonomous vehic...
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12/06/2020
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
The aerosol mixing state significantly affects the climate and health im...
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09/05/2020
Extended quasi-cyclic constructions of quantum codes and entanglement-assisted quantum codes
Construction of quantum codes and entanglement-assisted quantum codes wi...
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07/29/2020
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
Pedestrian trajectory prediction is an essential task in robotic applica...
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06/14/2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
The transition matrix, denoting the transition relationship from clean l...
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04/06/2020
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Video anomaly detection (VAD) has been extensively studied. However, res...
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02/10/2020
Towards Mixture Proportion Estimation without Irreducibility
Mixture proportion estimation (MPE) is a fundamental problem of practica...
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04/10/2019
Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
Motivated by the need to develop simulation tools for verification and v...
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03/09/2019
Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation
Safe autonomous landing in urban cities is a necessity for the growing U...
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03/02/2019
Unsupervised Traffic Accident Detection in First-Person Videos
Recognizing abnormal events such as traffic violations and accidents in ...
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09/19/2018