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03/15/2023
DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception
BEV perception is of great importance in the field of autonomous driving...
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03/07/2023
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
Semantic occupancy perception is essential for autonomous driving, as au...
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12/17/2022
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
In recent years, vision-centric perception has flourished in various aut...
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08/22/2022
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Albeit with varying degrees of progress in the field of Semi-Supervised ...
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08/19/2022
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
Self-supervised monocular methods can efficiently learn depth informatio...
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04/15/2022
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Learning-based Multi-View Stereo (MVS) methods warp source images into t...
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04/11/2022
HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Autonomous driving requires accurate and detailed Bird's Eye View (BEV) ...
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12/16/2021
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation (WSSS) is a fundamen...
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03/13/2021
Anticipating synchronization with machine learning
In applications of dynamical systems, situations can arise where it is d...
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12/21/2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels
Data augmentation is a powerful technique to increase the diversity of d...
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11/15/2020
Transfer learning of chaotic systems
Can a neural network trained by the time series of system A be used to p...
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03/23/2020
Learning Dynamic Routing for Semantic Segmentation
Recently, numerous handcrafted and searched networks have been applied f...
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02/17/2020
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
Most recent semi-supervised video object segmentation (VOS) methods rely...
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02/27/2019
Cluster Regularized Quantization for Deep Networks Compression
Deep neural networks (DNNs) have achieved great success in a wide range ...
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02/27/2019
Multi-loss-aware Channel Pruning of Deep Networks
Channel pruning, which seeks to reduce the model size by removing redund...
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12/11/2018
Identity-Enhanced Network for Facial Expression Recognition
Facial expression recognition is a challenging task, arguably because of...
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12/10/2018
Attention-guided Unified Network for Panoptic Segmentation
This paper studies panoptic segmentation, a recently proposed task which...
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09/13/2018
Adversarial Feature Sampling Learning for Efficient Visual Tracking
The tracking-by-detection framework usually consist of two stages: drawi...
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05/29/2018