Shiyi Lan

According to our database1, Shiyi Lan authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
Exploring Camera Encoder Designs for Autonomous Driving Perception.
CoRR, 2024

Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint.
CoRR, 2024

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
CoRR, 2024

OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning.
CoRR, 2024

EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks.
CoRR, 2024

SF3D: SlowFast Temporal 3D Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
Proceedings of the Computer Vision - ECCV 2024, 2024

SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

What is Point Supervision Worth in Video Instance Segmentation?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
CoRR, 2023

FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.
CoRR, 2023

Fully Attentional Networks with Self-emerging Token Labeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Vision Transformers are Good Mask Auto-Labelers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Object Detection and Instance Segmentation for Real-world Applications.
PhD thesis, 2022

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track.
CoRR, 2022

M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling.
Proceedings of the Computer Vision - ECCV 2020, 2020

SaccadeNet: A Fast and Accurate Object Detector.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
FastMask: Segment Multi-scale Object Candidates in One Shot.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
FastMask: Segment Object Multi-scale Candidates in One Shot.
CoRR, 2016


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