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Career

· Intern, Amazon2022–
· Intern, Microsoft Research2021–
· PhD in Computer Science, Princeton University2021–
· Intern, Argo AI2019–
· Intern, Borealis AI2019–

Publications (17)

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
NeurIPS Datasets and Benchmarks · 2023
888
cited
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
AKBC@NIPS · 2018
133
cited
What-If Motion Prediction for Autonomous Driving
arXiv.org · 2020
126
cited
Iterative Scene Graph Generation
Neural Information Processing Systems · 2022
37
cited
Segmentation-grounded Scene Graph Generation
IEEE International Conference on Computer Vision · 2021
31
cited
UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation
Computer Vision and Pattern Recognition · 2020
30
cited
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models
Computer Vision and Pattern Recognition · 2023
13
cited
Faster K-Means Cluster Estimation
European Conference on Information Retrieval · 2017
7
cited
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline
arXiv.org · 2023
6
cited
Electronic properties of pure and doped NbS2 and WS2 monolayers
Materials Today: Proceedings · 2022
5
cited
AttentionRNN: A Structured Spatial Attention Mechanism
IEEE International Conference on Computer Vision · 2019
3
cited
Weakly-supervised Any-shot Object Detection
arXiv.org · 2020
2
cited
Enforcing structure in visual attention
2019
README: A Literature Survey Assistant
2020
Supplementary Material for “ATTENTIONRNN: A Structured Spatial Attention Mechanism”
2019
Supplementary: Segmentation-grounded Scene Graph Generation
2021
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Siddhesh Khandelwal | Researcher Profile | Sotabase | Sotabase