About me

Hi! I’m a first-year Ph.D. student at Georgia Tech, where I’m fortunate to be advised by Judy Hoffman. I completed my bachelor’s at Manipal Institute of Technology, India, in 2022, where I had an incredible learning experience. For my bachelor’s thesis, I interned at IISc Bangalore.

My research focuses on advancing areas like Computer Vision, NLP, Semi/Self-supervised Learning, Zero-Shot Learning, Domain Adaptation, and Continual Learning. I’m passionate about creating deep learning models that require minimal supervision.

Lately, I’ve been diving into Multimodal Large Language Models (LLMs) — if you’re working in this area or just curious, feel free to reach out. I’d love to chat! I am also attending ECCV 2024.

Recent Updates

[ 🌟: Important | 💡: Research Paper | 📆: Miscellaneous ]

• 🌟 Attending ECCV 2024 at Milan, Italy! Georgia Tech published an article about our work!

• 💡 Jul 1, 2024: My first first-author paper – SkyScenes: A Synthetic Dataset for Aerial Scene Understanding is accepted at ECCV 2024!

• 🌟 Apr 1, 2024: Joining Georgia Tech for Ph.D. CS under Prof. Judy Hoffman in Fall 2024.

• 📆 Mar 12, 2024: Serving as a reviewer for ECCV 2024.

• 💡 Oct 24, 2023: My first main-conference paper - LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration is accepted at WACV 2024!

• 🌟 Attending NeurIPS 2022 at New Orleans, LA, USA. My first in-person conference!

• 🌟 Apr 4, 2022: Admitted to the MS CS program of Georgia Tech for Fall 2022!

Publications

2024

• ECCV 2024 [First first-author paper!]
  • SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
  • Sahil Khose*, Anisha Pal*, Aayushi Agarwal*, Deepanshi*, Judy Hoffman, Prithvijit Chattopadhyay
  • Website | HF🤗 | Paper | CoC Article | GitHub
• WACV 2024 [First main-conference paper!]
  • LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
  • Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer

2022

• NeurIPS 2022 [Visted my first in-person conference in New Orleans!]
  • [Poster] Continual VQA for Disaster Response Systems at CCAI
• ICML 2022
  • [Best Paper Award 🌟] An Efficient Modern Baseline for FloodNet VQA at New In ML
• ACL 2022
  • [Oral] Transformer based ensemble for emotion detection at WASSA

2021

• NeurIPS 2021
  1. [Spotlight Paper 🌟] Semi-Supervised Classification and Segmentation on High Resolution Aerial Images at CCAI
  2. XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches at 1. [Oral] New in ML 2. [Paper] CtrlGen 3. [Paper] ML4CD 4. [Poster] DGM
  3. [Poster] A Studious Approach to Semi-Supervised Learning at ICBINB
• NAACL 2021
  • [Oral] BERT based Transformers lead the way in Extraction of Health Information from Social Media at SMM4H