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09/03/2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP and ...
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08/22/2023
Unsupervised Prototype Adapter for Vision-Language Models
Recently, large-scale pre-trained vision-language models (e.g. CLIP and ...
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07/28/2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP, est...
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06/29/2023
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation
One central challenge in source-free unsupervised domain adaptation (UDA...
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04/15/2023
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
Given an unknown dynamical system, what is the minimum number of samples...
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03/20/2023
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
A central challenge in human pose estimation, as well as in many other m...
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03/02/2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Fully test-time adaptation aims to adapt the network model based on sequ...
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10/09/2022
Coded Residual Transform for Generalizable Deep Metric Learning
A fundamental challenge in deep metric learning is the generalization ca...
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07/06/2022
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
We observe that human poses exhibit strong group-wise structural correla...
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03/04/2021
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
Deep neural networks recognize objects by analyzing local image details ...
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04/23/2020
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
Effective defense of deep neural networks against adversarial attacks re...
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04/09/2020
Reciprocal Learning Networks for Human Trajectory Prediction
We observe that the human trajectory is not only forward predictable, bu...
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09/04/2019
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
In this work, we develop a joint sample discovery and iterative model ev...
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04/25/2018
Progressive Neural Networks for Image Classification
The inference structures and computational complexity of existing deep n...
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10/27/2017
Dual Path Networks for Multi-Person Human Pose Estimation
The task of multi-person human pose estimation in natural scenes is quit...
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10/26/2017
Knowledge Projection for Deep Neural Networks
While deeper and wider neural networks are actively pushing the performa...
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07/18/2017
Towards a Social Virtual Reality Learning Environment in High Fidelity
Virtual Learning Environments (VLEs) are spaces designed to educate stud...
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05/05/2017
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
Human pose estimation using deep neural networks aims to map input image...
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04/07/2016
