Michael Bi Mi

According to our database1, Michael Bi Mi authored at least 20 papers between 2022 and 2024.

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Bibliography

2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Bias-Compensated Integral Regression for Human Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

DreamDrone.
CoRR, 2023

Learning Unorthogonalized Matrices for Rotation Estimation.
CoRR, 2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
CoRR, 2023

Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction.
CoRR, 2023

An Implicit Alignment for Video Super-Resolution.
CoRR, 2023

Improving Deep Regression with Ordinal Entropy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Priority-Centric Human Motion Generation in Discrete Latent Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Overcoming the TradeOff between Accuracy and Plausibility in 3D Hand Shape Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DepGraph: Towards Any Structural Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
ONCE-3DLanes: Building Monocular 3D Lane Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point2Seq: Detecting 3D Objects as Sequences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain Adaptation.
Proceedings of the Computer Vision - ACCV 2022, 2022


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