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ORCIDSiddhesh Khandelwal
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2020 – today
- 2024
[c8]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. CVPR 2024: 4029-4040- 2023
- [i10]Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan
, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. CoRR abs/2301.00493 (2023) - [i9]Siddhesh Khandelwal, Anirudth Nambirajan, Behjat Siddiquie, Jayan Eledath, Leonid Sigal:
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline. CoRR abs/2302.07319 (2023) - [i8]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. CoRR abs/2311.17095 (2023) - 2022
- [c7]Siddhesh Khandelwal, Leonid Sigal:
Iterative Scene Graph Generation. NeurIPS 2022 - [i7]Siddhesh Khandelwal, Leonid Sigal:
Iterative Scene Graph Generation. CoRR abs/2207.13440 (2022) - 2021
- [c6]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. CVPR 2021: 5951-5961 - [c5]Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal:
Segmentation-grounded Scene Graph Generation. ICCV 2021: 15859-15869 - [c4]Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. NeurIPS Datasets and Benchmarks 2021 - [i6]Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal:
Segmentation-grounded Scene Graph Generation. CoRR abs/2104.14207 (2021) - 2020
- [i5]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
Weakly-supervised Any-shot Object Detection. CoRR abs/2006.07502 (2020) - [i4]Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, Deva Ramanan:
What-If Motion Prediction for Autonomous Driving. CoRR abs/2008.10587 (2020)
2010 – 2019
- 2019
- [c3]Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. ICCV 2019: 3424-3433 - [i3]Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. CoRR abs/1905.09400 (2019) - 2018
- [i2]Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar:
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. CoRR abs/1804.06987 (2018) - 2017
- [c2]Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar:
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. AKBC@NIPS 2017 - [c1]Siddhesh Khandelwal, Amit Awekar:
Faster K-Means Cluster Estimation. ECIR 2017: 520-526 - [i1]Siddhesh Khandelwal, Amit Awekar:
Faster K-Means Cluster Estimation. CoRR abs/1701.04600 (2017)
Coauthor Index
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last updated on 2024-10-04 20:58 CEST by the dblp team
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