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08/30/2023
MMVP: Motion-Matrix-based Video Prediction
A central challenge of video prediction lies where the system has to rea...
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05/25/2023
Towards Automatic Neural Architecture Search within General Super-Networks
Existing neural architecture search (NAS) methods typically rely on pre-...
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03/13/2023
OTOV2: Automatic, Generic, User-Friendly
The existing model compression methods via structured pruning typically ...
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09/09/2022
Sparsity-guided Network Design for Frame Interpolation
DNN-based frame interpolation, which generates intermediate frames from ...
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06/03/2022
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset
Snow is one of the toughest adverse weather conditions for object detect...
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03/27/2022
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) is the task of interpolating v...
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07/15/2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Structured pruning is a commonly used technique in deploying deep neural...
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03/18/2021
CDFI: Compression-Driven Network Design for Frame Interpolation
DNN-based frame interpolation–that generates the intermediate frames giv...
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04/18/2020
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
Super Resolution is the problem of recovering a high-resolution image fr...
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08/27/2019
DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
Image deraining is a fundamental, yet not well-solved problem in compute...
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08/18/2019