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03/02/2023
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity
The dynamic and evolutionary nature of service requirements in wireless ...
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11/26/2021
Reinforcement Explanation Learning
Deep Learning has become overly complicated and has enjoyed stellar succ...
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10/28/2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Unsupervised domain adaptation which aims to adapt models trained on a l...
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02/04/2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Learning to recognize actions from only a handful of labeled videos is a...
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12/06/2020
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
Partial domain adaptation which assumes that the unknown target label sp...
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08/12/2020
Mitigating Dataset Imbalance via Joint Generation and Classification
Supervised deep learning methods are enjoying enormous success in many p...
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03/31/2020
Revisiting Few-shot Activity Detection with Class Similarity Control
Many interesting events in the real world are rare making preannotated m...
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06/05/2019
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
We address the problem of temporal activity detection in continuous, unt...
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06/19/2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Deep neural networks are increasingly being used to automate data analys...
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03/22/2017
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
We address the problem of activity detection in continuous, untrimmed vi...
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12/21/2016
Top-down Visual Saliency Guided by Captions
Neural image/video captioning models can generate accurate descriptions,...
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08/01/2016
Video Summarization in a Multi-View Camera Network
While most existing video summarization approaches aim to extract an inf...
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07/25/2016
Temporal Model Adaptation for Person Re-Identification
Person re-identification is an open and challenging problem in computer ...
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07/01/2016