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08/06/2023
Semantic-Guided Feature Distillation for Multimodal Recommendation
Multimodal recommendation exploits the rich multimodal information assoc...
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07/31/2023
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation
In this technical report, we present our findings from the research cond...
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07/27/2023
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration
Training an effective video action recognition model poses significant c...
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07/25/2023
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering
The main challenge in video question answering (VideoQA) is to capture a...
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07/24/2023
Towards Generalizable Deepfake Detection by Primary Region Regularization
The existing deepfake detection methods have reached a bottleneck in gen...
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07/19/2023
Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection
Human-Object Interaction Detection is a crucial aspect of human-centric ...
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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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05/23/2023
Continual Learning with Strong Experience Replay
Continual Learning (CL) aims at incrementally learning new tasks without...
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05/20/2023
What Makes for Good Visual Tokenizers for Large Language Models?
We empirically investigate proper pre-training methods to build good vis...
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05/19/2023
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
Sensitivity to severe occlusion and large view angles limits the usage s...
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04/30/2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Adversarial contrastive learning (ACL), without requiring labels, incorp...
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02/08/2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Adversarial contrastive learning (ACL) does not require expensive data a...
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02/04/2023
Learning to Agree on Vision Attention for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR) remains a significant yet challenging...
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01/13/2023
Text to Point Cloud Localization with Relation-Enhanced Transformer
Automatically localizing a position based on a few natural language inst...
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09/27/2022
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Recommendation systems make predictions chiefly based on users' historic...
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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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05/27/2022
Effective Abstract Reasoning with Dual-Contrast Network
As a step towards improving the abstract reasoning capability of machine...
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05/27/2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Point cloud sequences are irregular and unordered in the spatial dimensi...
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03/10/2022
Disentangled Multimodal Representation Learning for Recommendation
Many multimodal recommender systems have been proposed to exploit the ri...
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02/25/2022
On Modality Bias Recognition and Reduction
Making each modality in multi-modal data contribute is of vital importan...
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02/25/2022
Joint Answering and Explanation for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR), deemed as one challenging extension ...
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02/22/2022
DIOT: Detecting Implicit Obstacles from Trajectories
In this paper, we study a new data mining problem of obstacle detection ...
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02/07/2022
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests
Non-parametric two-sample tests (TSTs) that judge whether two sets of sa...
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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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09/21/2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Raven's Progressive Matrices (RPM) is highly correlated with human intel...
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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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02/06/2021
Understanding the Interaction of Adversarial Training with Noisy Labels
Noisy labels (NL) and adversarial examples both undermine trained models...
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12/18/2020
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction
Hyperspectral compressive imaging takes advantage of compressive sensing...
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10/05/2020
Geometry-aware Instance-reweighted Adversarial Training
In adversarial machine learning, there was a common belief that robustne...
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09/23/2020
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Improper or erroneous labelling can pose a hindrance to reliable general...
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09/22/2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
In this work, we present an approach for unsupervised domain adaptation ...
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09/21/2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
Good training data is a prerequisite to develop useful ML applications. ...
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08/26/2020
Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda
Participation on social media platforms has many benefits but also poses...
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06/23/2020
Gender and Emotion Recognition from Implicit User Behavior Signals
This work explores the utility of implicit behavioral cues, namely, Elec...
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04/22/2020
Hierarchically Fair Federated Learning
Federated learning facilitates collaboration among self-interested agent...
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04/11/2020
Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring
Locality-Sensitive Hashing (LSH) is one of the most popular methods for ...
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04/01/2020
Adversarial Learning for Personalized Tag Recommendation
We have recently seen great progress in image classification due to the ...
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03/19/2020
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
Salient object detection is evaluated using binary ground truth with the...
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02/26/2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Adversarial training based on the minimax formulation is necessary for o...
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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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02/05/2020
Solving Raven's Progressive Matrices with Neural Networks
Raven's Progressive Matrices (RPM) have been widely used for Intelligenc...
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08/28/2019
Fast Video Object Segmentation via Mask Transfer Network
Accuracy and processing speed are two important factors that affect the ...
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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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08/21/2019
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Most existing recommender systems represent a user's preference with a f...
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05/22/2019
