Chengjian Feng

Orcid: 0009-0005-8174-9359

According to our database1, Chengjian Feng authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories.
CoRR, April, 2026

X-SAM: From Segment Anything to Any Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case.
CoRR, August, 2025

AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline.
CoRR, April, 2025

Boosting Robotic Manipulation Generalization with Minimal Costly Data.
CoRR, March, 2025

P3Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction.
CoRR, March, 2025

InstructVEdit: A Holistic Approach for Instructional Video Editing.
CoRR, March, 2025

RoboTron-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DisTime: Distribution-Based Time Representation for Video Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
DriveMM: All-in-One Large Multimodal Model for Autonomous Driving.
CoRR, 2024

RoboMM: All-in-One Multimodal Large Model for Robotic Manipulation.
CoRR, 2024

RFSR: Improving ISR Diffusion Models via Reward Feedback Learning.
CoRR, 2024

AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models.
CoRR, 2024

OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.
CoRR, 2024

RoboCAS: A Benchmark for Robotic Manipulation in Complex Object Arrangement Scenarios.
CoRR, 2024

RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulaiton.
CoRR, 2024

AutoM<sup>3</sup>L: An Automated Multimodal Machine Learning Framework with Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

InstaGen: Enhancing Object Detection by Training on Synthetic Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
FastPillars: A Deployment-friendly Pillar-based 3D Detector.
CoRR, 2023

AeDet: Azimuth-Invariant Multi-View 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PromptDet: Expand Your Detector Vocabulary with Uncurated Images.
CoRR, 2022

PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Exploring Classification Equilibrium in Long-Tailed Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TOOD: Task-aligned One-stage Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Domain adaptation with SBADA-GAN and Mean Teacher.
Neurocomputing, 2020


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