Sotabase

Career

· VP Of Engineering And AI, Bot Auto2026–
· Co-Founder CEO, Prompt AI2023–2026
· Visiting Researcher In AI, Facebook2020–2022
· Doctoral Student, University of California, Berkeley2019–2023
· Doctor's Degree, Artificial Intelligence, University of California, Berkeley2019–2023
· Research Intern, MIT-IBM Watson AI Lab2018–2018
· Bachelor of Science - BS, Computer Science, summa cum laude, Peking University2015–2019

Publications (24)

Segment Anything
IEEE International Conference on Computer Vision · 2023
11,543
cited
Unified Perceptual Parsing for Scene Understanding
European Conference on Computer Vision · 2018
2,294
cited
Acquisition of Localization Confidence for Accurate Object Detection
European Conference on Computer Vision · 2018
926
cited
Early Convolutions Help Transformers See Better
Neural Information Processing Systems · 2021
890
cited
CrowdHuman: A Benchmark for Detecting Human in a Crowd
arXiv.org · 2018
811
cited
Repulsion Loss: Detecting Pedestrians in a Crowd
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
544
cited
What Should Not Be Contrastive in Contrastive Learning
International Conference on Learning Representations · 2020
333
cited
MegDet: A Large Mini-Batch Object Detector
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
325
cited
Real-World Robot Learning with Masked Visual Pre-training
Conference on Robot Learning · 2022
309
cited
What Can Help Pedestrian Detection?
Computer Vision and Pattern Recognition · 2017
293
cited
Masked Visual Pre-training for Motor Control
arXiv.org · 2022
290
cited
Real-world humanoid locomotion with reinforcement learning
Science Robotics · 2023
270
cited
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks
Computer Vision and Pattern Recognition · 2019
193
cited
Region Similarity Representation Learning
IEEE International Conference on Computer Vision · 2021
125
cited
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
International Conference on Learning Representations · 2020
71
cited
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
International Conference on Computational Linguistics · 2018
52
cited
Reasoning About Human-Object Interactions Through Dual Attention Networks
IEEE International Conference on Computer Vision · 2019
36
cited
Rethinking preventing class-collapsing in metric learning with margin-based losses
IEEE International Conference on Computer Vision · 2020
15
cited
Reducing Class Collapse in Metric Learning with Easy Positive Sampling
arXiv.org · 2020
9
cited
GRU Encoder Word Embeddings Fusing with MLP Predicted Word : Vase
2018
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Tete Xiao | Researcher Profile | Sotabase | Sotabase