research
∙
06/28/2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
High Definition (HD) maps are maps with precise definitions of road lane...
share
research
∙
08/19/2020
TNT: Target-driveN Trajectory Prediction
Predicting the future behavior of moving agents is essential for real wo...
research
∙
05/08/2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Behavior prediction in dynamic, multi-agent systems is an important prob...
research
∙
05/08/2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Detecting pedestrians and predicting future trajectories for them are cr...
research
∙
04/17/2020
CPARR: Category-based Proposal Analysis for Referring Relationships
The task of referring relationships is to localize subject and object en...
research
∙
10/15/2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Recent work on 3D object detection advocates point cloud voxelization in...
research
∙
12/01/2018
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
The labeling cost of large number of bounding boxes is one of the main c...
research
∙
11/21/2018
MAC: Mining Activity Concepts for Language-based Temporal Localization
We address the problem of language-based temporal localization in untrim...
research
∙
07/12/2018
CTAP: Complementary Temporal Action Proposal Generation
Temporal action proposal generation is an important task, akin to object...
research
∙
05/05/2018
Revisiting Temporal Modeling for Video-based Person ReID
Video-based person reID is an important task, which has received much at...
research
∙
03/29/2018
Motion-Appearance Co-Memory Networks for Video Question Answering
Video Question Answering (QA) is an important task in understanding vide...
research
∙
03/11/2018
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
Given a natural language query, a phrase grounding system aims to locali...
research
∙
11/21/2017
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
Fine-grained image labels are desirable for many computer vision applica...
research
∙
07/31/2017
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation
In this work, we address the problem of spatio-temporal action detection...
research
∙
07/16/2017
RED: Reinforced Encoder-Decoder Networks for Action Anticipation
Action anticipation aims to detect an action before it happens. Many rea...
research
∙
05/05/2017
TALL: Temporal Activity Localization via Language Query
This paper focuses on temporal localization of actions in untrimmed vide...
research
∙
05/02/2017
Cascaded Boundary Regression for Temporal Action Detection
Temporal action detection in long videos is an important problem. State-...
research
∙
03/17/2017
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Temporal Action Proposal (TAP) generation is an important problem, as fa...
research
∙
09/08/2016
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data
Action classification in still images has been a popular research topic ...
research
∙
04/16/2016