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09/11/2023
EANet: Expert Attention Network for Online Trajectory Prediction
Trajectory prediction plays a crucial role in autonomous driving. Existi...
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08/25/2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
Glaucoma is the number one cause of irreversible blindness globally. A m...
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08/03/2023
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
We present the All-Seeing (AS) project: a large-scale data and model for...
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07/17/2023
Neural Video Depth Stabilizer
Video depth estimation aims to infer temporally consistent depth. Some m...
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06/15/2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Fairness in machine learning is important for societal well-being, but l...
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11/10/2022
Demystify Transformers Convolutions in Modern Image Deep Networks
Recent success of vision transformers has inspired a series of vision ba...
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09/02/2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
Ophthalmic images and derivatives such as the retinal nerve fiber layer ...
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07/31/2022
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
Generative adversarial networks (GANs) have been trained to be professio...
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07/15/2022
3D Instances as 1D Kernels
We introduce a 3D instance representation, termed instance kernels, wher...
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03/16/2022
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
Class-agnostic counting (CAC) aims to count all instances in a query ima...
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08/12/2021
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
Ocean current, fluid mechanics, and many other spatio-temporal physical ...
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08/11/2021
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Spatio-temporal forecasting is of great importance in a wide range of dy...
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02/17/2021
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
State estimation problems that use relative observations routinely arise...
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09/21/2020
Evolutionary Architecture Search for Graph Neural Networks
Automated machine learning (AutoML) has seen a resurgence in interest wi...
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03/24/2020
Deep Line Art Video Colorization with a Few References
Coloring line art images based on the colors of reference images is an i...
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12/26/2019
Multi-Label Graph Convolutional Network Representation Learning
Knowledge representation of graph-based systems is fundamental across ma...
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12/26/2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Noise and inconsistency commonly exist in real-world information network...
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06/05/2019