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Discovering Objects that Can Move
Zhipeng Bao
, Pavel Tokmakov
, Allan Jabri
,
Yu-Xiong Wang
, Adrien Gaidon
, Martial Hebert
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
Overview
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Keyphrases
Object Discovery
100%
Dynamic Objects
100%
Ablation
50%
Synthetic Images
50%
Segmentation Algorithm
50%
Color Texture
50%
Fundamental Limitations
50%
Heuristic-based
50%
Cluttered Scene
50%
General Motion
50%
Photorealistic
50%
Weak Learning
50%
Learning Signals
50%
Driving Scenarios
50%
Motion Cue
50%
Autoencoder
50%
Motion Segmentation
50%
Appearance Cues
50%
Ground Truth Segmentation
50%
KITTI Benchmark
50%
Learning-based Method
50%
Real-world Scenes
50%
Realistic Synthetic Dataset
50%
Computer Science
Synthetic Image
100%
segmentation algorithm
100%
Synthetic Datasets
100%
Annotation
100%
Motion Segmentation
100%