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03/31/2022
MeMOT: Multi-Object Tracking with Memory
We propose an online tracking algorithm that performs the object detecti...
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03/31/2022
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
We propose a memory efficient method, named Stochastic Backpropagation (...
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07/07/2021
Long Short-Term Transformer for Online Action Detection
In this paper, we present Long Short-term TRansformer (LSTR), a new temp...
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07/06/2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Online tracking of multiple objects in videos requires strong capacity o...
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03/25/2021
Stepwise Goal-Driven Networks for Trajectory Prediction
We propose to predict the future trajectories of observed agents (e.g., ...
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12/16/2020
Learning to Recognize Patch-Wise Consistency for Deepfake Detection
We propose to detect Deepfake generated by face manipulation based on on...
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10/08/2020
Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery
Understanding the structure of the ice at the Earth's poles is important...
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04/06/2020
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Video anomaly detection (VAD) has been extensively studied. However, res...
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04/09/2019
Embodied Visual Recognition
Passive visual systems typically fail to recognize objects in the amodal...
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03/23/2019
StartNet: Online Detection of Action Start in Untrimmed Videos
We propose StartNet to address Online Detection of Action Start (ODAS) w...
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03/02/2019
Unsupervised Traffic Accident Detection in First-Person Videos
Recognizing abnormal events such as traffic violations and accidents in ...
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11/18/2018
Temporal Recurrent Networks for Online Action Detection
Most work on temporal action detection is formulated in an offline manne...
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09/19/2018
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Predicting the future location of vehicles is essential for safety-criti...
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03/29/2018
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
In a world in which cameras are becoming more and more pervasive, scenes...
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01/11/2018
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Deep learning methods have surpassed the performance of traditional tech...
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01/11/2018
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition
A major emerging challenge is how to protect people's privacy as cameras...
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12/21/2017