Junran Peng

Orcid: 0000-0001-5276-0114

According to our database1, Junran Peng authored at least 36 papers between 2015 and 2024.

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Bibliography

2024
Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection.
IEEE CAA J. Autom. Sinica, March, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.
CoRR, 2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model.
CoRR, 2024

CityX: Controllable Procedural Content Generation for Unbounded 3D Cities.
CoRR, 2024

StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework.
CoRR, 2024

MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets.
CoRR, 2024

CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians.
CoRR, 2024

SceneX: Procedural Controllable Large-scale Scene Generation via Large-language Models.
CoRR, 2024

Semantic Anything in 3D Gaussians.
CoRR, 2024

Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering.
CoRR, 2024

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes.
CoRR, 2024

OWL: A Large Language Model for IT Operations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HardMo: A Large-Scale Hardcase Dataset for Motion Capture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GAIA-Universe: Everything is Super-Netify.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Generating Fine-Grained Human Motions Using ChatGPT-Refined Descriptions.
CoRR, 2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
CoRR, 2023

BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Context-aware co-supervision for accurate object detection.
Pattern Recognit., 2022

Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection.
Int. J. Comput. Vis., 2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers.
CoRR, 2022

DATA: Domain-Aware and Task-Aware Self-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019.
CoRR, 2019

Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection.
CoRR, 2019

Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

POD: Practical Object Detection With Scale-Sensitive Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Fast Object Detection at Constrained Energy.
IEEE Trans. Emerg. Top. Comput., 2018

Accelerating Deep Neural Networks with Spatial Bottleneck Modules.
CoRR, 2018

2015
Rebooting Computing and Low-Power Image Recognition Challenge.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015


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