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ORCIDPavan Kumar Anasosalu Vasu
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2020 – today
- 2024
[c6]Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari:
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops 2024: 3635-3647- [c5]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel:
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CVPR 2024: 15963-15974 - [c4]Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel:
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. NeurIPS 2024 - [i10]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel:
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. CoRR abs/2405.08911 (2024) - [i9]Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel:
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. CoRR abs/2405.13226 (2024) - [i8]Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi:
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. CoRR abs/2407.06723 (2024) - [i7]Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokul Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari:
FastVLM: Efficient Vision Encoding for Vision Language Models. CoRR abs/2412.13303 (2024) - 2023
- [c3]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
MobileOne: An Improved One millisecond Mobile Backbone. CVPR 2023: 7907-7917 - [c2]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. ICCV 2023: 5762-5772 - [i6]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. CoRR abs/2303.14189 (2023) - [i5]Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari:
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR abs/2310.15308 (2023) - [i4]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel:
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR abs/2311.17049 (2023) - 2022
- [c1]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR 2022: 19364-19373 - [i3]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
An Improved One millisecond Mobile Backbone. CoRR abs/2206.04040 (2022) - 2021
- [i2]Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel:
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework. CoRR abs/2106.06129 (2021) - [i1]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Representation Learning. CoRR abs/2112.02805 (2021)
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