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20182023
most citedPVT v2: Improved Baselines with Pyramid Vision Transformer

2.4k citations · 3.4k across the 57 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs

Zhouxia Wang, Jiawei Zhang, Tianshui Chen +2

Blind face restoration aims at recovering high-quality face images from those with unknown degradations. Current algorithms mainly introduce priors to complement high-quality detai…

cs.CV2023★ 2 cited

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation

Chongjian Ge, Junsong Chen, Enze Xie +5

Perception systems in modern autonomous driving vehicles typically take inputs from complementary multi-modal sensors, e.g., LiDAR and cameras. However, in real-world applications,…

cs.CV2023★ 3 cited

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving

Tianqi Wang, Sukmin Kim, Wenxuan Ji +5

Safety is the primary priority of autonomous driving. Nevertheless, no published dataset currently supports the direct and explainable safety evaluation for autonomous driving. In…

cs.CV2023★ 14 cited

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Haibao Yu, Yingjuan Tang, Enze Xie +4

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, temporal asynchrony and limited…

cs.CV2023★ 5 cited

DDP: Diffusion Model for Dense Visual Prediction

Yuanfeng Ji, Zhe Chen, Enze Xie +6

We propose a simple, efficient, yet powerful framework for dense visual predictions based on the conditional diffusion pipeline. Our approach follows a "noise-to-map" generative pa…

cs.CV2023★ 3 cited

Dense Distinct Query for End-to-End Object Detection

Shilong Zhang, Xinjiang Wang, Jiaqi Wang +5

One-to-one label assignment in object detection has successfully obviated the need for non-maximum suppression (NMS) as postprocessing and makes the pipeline end-to-end. However, i…