Search Results for author: Junwei Liang

Found 14 papers, 12 papers with code

SimAug: Learning Robust Representations from Simulation for Trajectory Prediction

1 code implementation ECCV 2020 Junwei Liang, Lu Jiang, Alexander Hauptmann

We approach this problem through the real-data-free setting in which the model is trained only on 3D simulation data and applied out-of-the-box to a wide variety of real cameras.

Adversarial Attack Adversarial Defense +2

Spatial-Temporal Alignment Network for Action Recognition and Detection

no code implementations4 Dec 2020 Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander Hauptmann

The experimental results show that the STAN model can consistently improve the state of the arts in both action detection and action recognition tasks.

Action Detection Action Recognition

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video

4 code implementations20 Nov 2020 Junwei Liang

With the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, socially-aware robot assistant and public safety monitoring.

Action Detection Autonomous Driving +1

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

1 code implementation CVPR 2020 Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann

The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals.

Autonomous Driving Human motion prediction +5

Focal Visual-Text Attention for Visual Question Answering

2 code implementations CVPR 2018 Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander Hauptmann

Recent insights on language and vision with neural networks have been successfully applied to simple single-image visual question answering.

Memex Question Answering Question Answering +1

MemexQA: Visual Memex Question Answering

1 code implementation4 Aug 2017 Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander Hauptmann

This paper proposes a new task, MemexQA: given a collection of photos or videos from a user, the goal is to automatically answer questions that help users recover their memory about events captured in the collection.

Memex Question Answering Question Answering +1

Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning

1 code implementation16 Jul 2016 Junwei Liang, Lu Jiang, Deyu Meng, Alexander Hauptmann

Learning video concept detectors automatically from the big but noisy web data with no additional manual annotations is a novel but challenging area in the multimedia and the machine learning community.

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