Zehui Chen

Orcid: 0000-0002-1843-4478

According to our database1, Zehui Chen authored at least 57 papers between 2017 and 2024.

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Bibliography

2024
DDOD: Dive Deeper into the Disentanglement of Object Detector.
IEEE Trans. Multim., 2024

Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection.
IEEE Trans. Image Process., 2024

DualSyn: A dual-level feature interaction method to predict synergistic drug combinations.
Expert Syst. Appl., 2024

MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.
CoRR, 2024

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher.
CoRR, 2024

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.
CoRR, 2024

Are We on the Right Way for Evaluating Large Vision-Language Models?
CoRR, 2024

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.
CoRR, 2024

InternLM2 Technical Report.
CoRR, 2024

Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection.
CoRR, 2024

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track.
CoRR, 2024

Stream Query Denoising for Vectorized HD Map Construction.
CoRR, 2024

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation.
Mach. Intell. Res., December, 2023

An efficiency-based interactive dynamic technique with interval-valued hesitant fuzzy constraint cone for rescue route planning.
Expert Syst. Appl., November, 2023

Deep Learning-Based Non-Contact IPPG Signal Blood Pressure Measurement Research.
Sensors, 2023

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.
CoRR, 2023

T-Eval: Evaluating the Tool Utilization Capability Step by Step.
CoRR, 2023

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.
CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.
CoRR, 2023

SAFE: Simultaneous Alignment of Features and Predictions for Dense Object Detectors.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning with Noisy Data for Semi-Supervised 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CANDY: Category-Kernelized Dynamic Convolution for Instance Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.
CoRR, 2022

AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection.
CoRR, 2022

Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training.
Proceedings of the Computer Vision - ECCV 2022, 2022


Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Channel Models and Coding Solutions for 1S1R Crossbar Resistive Memory with High Line Resistance.
CoRR, 2021

Food-Agnostic Dish Detection: A Simple Baseline.
IEEE Access, 2021

Disentangle Your Dense Object Detector.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Coding Schemes for Crossbar Resistive Memory with High Line Resistance in SCM Applications.
Proceedings of the 11th International Symposium on Topics in Coding, 2021

Factors Influencing Spatial Deprivation of Urban Public Transit - - The Perspective of Public Transit Resource Allocation.
Proceedings of the ICIT 2021: IoT and Smart City, Guangzhou, China, December 22 - 25, 2021, 2021

2020
Pilot Assisted Adaptive Thresholding for Sneak-Path Mitigation in Resistive Memories With Failed Selection Devices.
IEEE Trans. Commun., 2020

Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 - Instance Segmentation Track.
CoRR, 2020

1st Place Solutions of Waymo Open Dataset Challenge 2020 - 2D Object Detection Track.
CoRR, 2020

Write and Read Channel Models for 1S1R Crossbar Resistive Memory with High Line Resistance.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Insights into the antineoplastic mechanism of Chelidonium majus via systems pharmacology approach.
Quant. Biol., 2019

Variability Aware Read and Write Channel Models for 1S1R Crossbar Resistive Memory with High Wordline/Bitline Resistance.
CoRR, 2019

2018
Hamming Distance Computation in Unreliable Resistive Memory.
PhD thesis, 2018

Hamming Distance Computation in Unreliable Resistive Memory.
IEEE Trans. Commun., 2018

Coding Assisted Adaptive Thresholding for Sneak-Path Mitigation in Resistive Memories.
Proceedings of the IEEE Information Theory Workshop, 2018

Stacked U-Nets With Multi-Output for Road Extraction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
A coding scheme for reliable in-memory hamming distance computation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017


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