b'Long Zhao'

research

∙ 09/02/2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency

The task of shape abstraction with semantic part consistency is challeng...

0 Di Liu, et al. ∙

research

∙ 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...

0 Qitong Wang, et al. ∙

research

∙ 03/16/2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning

Prototype, as a representation of class embeddings, has been explored to...

2 Zhuowei Li, et al. ∙

research

∙ 07/20/2022

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Despite the success of fully-supervised human skeleton sequence modeling...

0 Yuxiao Chen, et al. ∙

research

∙ 04/12/2022

Are Multimodal Transformers Robust to Missing Modality?

Multimodal data collected from the real world are often imperfect due to...

0 Mengmeng Ma, et al. ∙

research

∙ 03/21/2022

Global Matching with Overlapping Attention for Optical Flow Estimation

Optical flow estimation is a fundamental task in computer vision. Recent...

32 Shiyu Zhao, et al. ∙

research

∙ 12/11/2021

COMPOSER: Compositional Learning of Group Activity in Videos

Group Activity Recognition (GAR) detects the activity performed by a gro...

14 Honglu Zhou, et al. ∙

research

∙ 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...

0 Xi Peng, et al. ∙

research

∙ 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 ...

0 Trevor Werho, et al. ∙

research

∙ 06/14/2021

Improved Transformer for High-Resolution GANs

Attention-based models, exemplified by the Transformer, can effectively ...

18 Long Zhao, et al. ∙

research

∙ 05/26/2021

Aggregating Nested Transformers

Although hierarchical structures are popular in recent vision transforme...

9 Zizhao Zhang, et al. ∙

research

∙ 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 ...

21 Yuxiao Chen, et al. ∙

research

∙ 03/09/2021

SMIL: Multimodal Learning with Severely Missing Modality

A common assumption in multimodal learning is the completeness of traini...

14 Mengmeng Ma, et al. ∙

research

∙ 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...

3 Weijie Chen, et al. ∙

research

∙ 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-...

7 Long Zhao, et al. ∙

research

∙ 10/23/2020

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

Recognition of human poses and activities is crucial for autonomous syst...

0 Ting Liu, et al. ∙

research

∙ 10/15/2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...

7 Long Zhao, et al. ∙

research

∙ 08/10/2020

Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine

Search engine has become a fundamental component in various web and mobi...

0 Kuan Fang, et al. ∙

research

∙ 04/01/2020

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

Cross-modal knowledge distillation deals with transferring knowledge fro...

1 Long Zhao, et al. ∙

research

∙ 03/30/2020

Learning to Learn Single Domain Generalization

We are concerned with a worst-case scenario in model generalization, in ...

4 Fengchun Qiao, et al. ∙

research

∙ 10/06/2019

Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...

7 Yu Tian, et al. ∙

research

∙ 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...

1 Yuxiao Chen, et al. ∙

research

∙ 04/06/2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression

In this paper, we study the problem of learning Graph Convolutional Netw...

6 Long Zhao, et al. ∙

research

∙ 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-...

0 Haojun Yang, et al. ∙

research

∙ 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...

0 Lingyi Han, et al. ∙

research

∙ 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...

0 Shiwen Liu, et al. ∙

research

∙ 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...

4 Long Zhao, et al. ∙

research

∙ 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...

0 Yu Tian, et al. ∙

research

∙ 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...

0 Haojun Yang, et al. ∙

research

∙ 12/02/2017

High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions

In recent years, wireless networks are undergoing the paradigm transform...

0 Haojun Yang, et al. ∙

research

∙ 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...

1 Long Zhao, et al. ∙

research

∙ 03/03/2017

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning

Weakly-supervised object detection (WOD) is a challenging problems in co...

0 Dingwen Zhang, et al. ∙

Long Zhao

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