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09/02/2023
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
The task of shape abstraction with semantic part consistency is challeng...
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08/22/2023
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
We are concerned with a challenging scenario in unpaired multiview video...
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03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
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07/20/2022
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Despite the success of fully-supervised human skeleton sequence modeling...
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04/12/2022
Are Multimodal Transformers Robust to Missing Modality?
Multimodal data collected from the real world are often imperfect due to...
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03/21/2022
Global Matching with Overlapping Attention for Optical Flow Estimation
Optical flow estimation is a fundamental task in computer vision. Recent...
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12/11/2021
COMPOSER: Compositional Learning of Group Activity in Videos
Group Activity Recognition (GAR) detects the activity performed by a gro...
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08/05/2021
Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach
We study a worst-case scenario in generalization: Out-of-domain generali...
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06/16/2021
Scenario Generation of Wind Farm Power for Real-Time System Operation
This work proposes a method of wind farm scenario generation to support ...
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06/14/2021
Improved Transformer for High-Resolution GANs
Attention-based models, exemplified by the Transformer, can effectively ...
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05/26/2021
Aggregating Nested Transformers
Although hierarchical structures are popular in recent vision transforme...
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05/20/2021
More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints
Attention mechanisms have been widely applied to cross-modal tasks such ...
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03/09/2021
SMIL: Multimodal Learning with Severely Missing Modality
A common assumption in multimodal learning is the completeness of traini...
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02/01/2021
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection
False positive is one of the most serious problems brought by agnostic d...
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12/02/2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
We introduce a novel representation learning method to disentangle pose-...
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10/23/2020
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Recognition of human poses and activities is crucial for autonomous syst...
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10/15/2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Adversarial data augmentation has shown promise for training robust deep...
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08/10/2020
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
Search engine has become a fundamental component in various web and mobi...
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04/01/2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Cross-modal knowledge distillation deals with transferring knowledge fro...
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03/30/2020
Learning to Learn Single Domain Generalization
We are concerned with a worst-case scenario in model generalization, in ...
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10/06/2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
Graph kernels are kernel methods measuring graph similarity and serve as...
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07/20/2019
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) met...
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04/06/2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
In this paper, we study the problem of learning Graph Convolutional Netw...
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03/05/2019
Twin-Timescale Radio Resource Management for Ultra-Reliable and Low-Latency Vehicular Networks
To efficiently support safety-related vehicular applications, the ultra-...
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02/25/2019
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Short-term road traffic prediction (STTP) is one of the most important m...
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02/25/2019
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
In a mixed-traffic scenario where both autonomous vehicles and human-dri...
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07/26/2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
We consider the problem of image-to-video translation, where an input im...
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06/28/2018
CR-GAN: Learning Complete Representations for Multi-view Generation
Generating multi-view images from a single-view input is an essential ye...
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12/02/2017
A Two-Stage Allocation Scheme for Delay-Sensitive Services in Dense Vehicular Networks
Driven by the rapid development of wireless communication system, more a...
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12/02/2017
High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions
In recent years, wireless networks are undergoing the paradigm transform...
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03/25/2017
Sketch-based Face Editing in Video Using Identity Deformation Transfer
We address the problem of using hand-drawn sketch to edit facial identit...
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03/03/2017