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03/28/2023
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Neural Radiance Field (NeRF) significantly degrades when only a limited ...
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02/02/2023
SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
In this work, we present SceneDreamer, an unconditional generative model...
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09/20/2022
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
High-quality HDRIs(High Dynamic Range Images), typically HDR panoramas, ...
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08/08/2022
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing
We present a weight similarity measure method that can quantify the weig...
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07/29/2022
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
We present a new lighting estimation and editing framework to generate h...
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07/11/2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Video-to-Video synthesis (Vid2Vid) has achieved remarkable results in ge...
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05/14/2021
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
Video salient object detection (VSOD) aims to locate and segment the mos...
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04/18/2021
Solving Inefficiency of Self-supervised Representation Learning
Self-supervised learning has attracted great interest due to its tremend...
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03/31/2021
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
Current state-of-the-art visual recognition systems usually rely on the ...
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07/27/2019
Learnable Parameter Similarity
Most of the existing approaches focus on specific visual tasks while ign...
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04/08/2019
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark
Person re-identification (ReID) benefits greatly from the accurate annot...
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01/29/2019
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification
Modeling the underlying person structure for person re-identification (r...
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12/08/2018
Spatial-Temporal Person Re-identification
Most of current person re-identification (ReID) methods neglect a spatia...
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11/09/2018
M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification
Cross-domain transfer learning (CDTL) is an extremely challenging task f...
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04/09/2018
