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09/06/2023
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
The objective of the multi-condition human motion synthesis task is to i...
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07/13/2023
A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023
In this technical report, we present our findings from a study conducted...
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07/06/2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
Detecting Human-Object Interaction (HOI) in images is an important step ...
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07/05/2022
Distance Matters in Human-Object Interaction Detection
Human-Object Interaction (HOI) detection has received considerable atten...
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06/30/2022
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
Knowledge-based Visual Question Answering (VQA) expects models to rely o...
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01/23/2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
A key challenge for machine intelligence is to learn new visual concepts...
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01/23/2022
Learning to Minimize the Remainder in Supervised Learning
The learning process of deep learning methods usually updates the model'...
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10/01/2021
Unsupervised Motion Representation Learning with Capsule Autoencoders
We propose the Motion Capsule Autoencoder (MCAE), which addresses a key ...
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09/30/2021
Learning to Predict Trustworthiness with Steep Slope Loss
Understanding the trustworthiness of a prediction yielded by a classifie...
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09/01/2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Motivated by scenarios where data is used for diverse prediction tasks, ...
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08/10/2021
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
This paper proposes a novel model for recognizing images with composite ...
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07/09/2020
n-Reference Transfer Learning for Saliency Prediction
Benefiting from deep learning research and large-scale datasets, salienc...
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02/09/2020
Weakly-Supervised Multi-Person Action Recognition in 360^∘ Videos
The recent development of commodity 360^∘ cameras have enabled a single ...
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02/09/2020
GradMix: Multi-source Transfer across Domains and Tasks
The computer vision community is witnessing an unprecedented rate of new...
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12/17/2019
Direction Concentration Learning: Enhancing Congruency in Machine Learning
One of the well-known challenges in computer vision tasks is the visual ...
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08/28/2019
Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Human action analysis and understanding in videos is an important and ch...
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04/08/2019
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Intra-class compactness and inter-class separability are crucial indicat...
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12/13/2018
Visual Social Relationship Recognition
Social relationships form the basis of social structure of humans. Devel...
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12/13/2018
Learning to Learn from Noisy Labeled Data
Despite the success of deep neural networks (DNNs) in image classificati...
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10/09/2018
Unsupervised Online Video Object Segmentation with Motion Property Understanding
Unsupervised online video object segmentation (VOS) aims to automaticall...
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09/06/2018
Unsupervised Learning of View-invariant Action Representations
The recent success in human action recognition with deep learning method...
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08/29/2018
Interact as You Intend: Intention-Driven Human-Object Interaction Detection
The recent advances in instance-level detection tasks lay strong foundat...
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07/25/2018
Video Storytelling
Bridging vision and natural language is a longstanding goal in computer ...
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08/03/2017
Attention Transfer from Web Images for Video Recognition
Training deep learning based video classifiers for action recognition re...
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08/02/2017
Dual-Glance Model for Deciphering Social Relationships
Since the beginning of early civilizations, social relationships derived...
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04/08/2013
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robu...
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04/04/2013
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used...
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04/03/2013
