Highlights and News:

27 July 2024 : Thanks to Aditya Ganeshan for sponsoring my trip to Denver to attend SIGGRAPH 2024 (:P)! A Pleasant experience! Lots of project ideas and relations to take home!

27 May 2024 : I am in San Francisco this summer to do some very interesting research with Matt Fisher and Thibault Groueix!

19 May 2024 : Finished my sixth semester with no courses. Most of the time spent on developing the new projects (and prompt engineering, ugh)!

5 April 2024 : After a lot of code rewriting, I released the codebase for using code rewriting to improve Visual Program Inference (our ICCV 2023 paper). Check out CoReF!

9 February 2024 : I am helping organize a Visual Program Inference challenge at C3DV: 2nd Workshop On Compositional 3D Vision at CVPR 2024. Its the first of its kind so hope to get more folks interested in mixing programs and visual processing! A big Thanks to Habib Slim for thinking of including visual program inference as a challenge at C3DV!

19 December 2023 : Finished my fifth semester with no courses. Most of the time spent in research - coding clean versions of old packages, and pushing forth with new ideas!

9 December 2023 : I will be attending the NYC Computer Vision Day 2024 with many of my lab members. We will also do a short poster presentation of multiple works at 2:40 PM.

9 December 2023 : I released the code for GeoLIPI: A DSL for Implicit Geometric Modelling. Its my attempt at putting together different code pieces I deal with constantly into one place. The code is still in its infancy, and I will be adding more features to it as I go along.

12 November 2023 : I have accepted the awesome opportunity to work with Matt Fisher and Michael Gharbi at Adobe for the summer 2024. Hope to cook something exciting with stochastic patterns in the near future!

15 October 2023 : I released the code for Branching BAD, Neural Volumetric Primitives, and Pack Poly. Also, a config parser wacky and a minor tool ProcXD. Code for GeoLIPI (meta langauge for shape languages) and CoReF (code rewriting families) to be released soon.

1 October 2023 : Thanks to Yiming Qian for selecting our ICCV 2023 paper for a student paper talk at the 3D Vision and Modeling Challenges in eCommerce Workshop at ICCV 2023 (of course thanks to Daniel for suggesting the paper when asked for it).

1 October 2023 : Thanks to Daniel for sponsoring my trip to paris for present our paper at ICCV 2023! Quite an experience! Good to see people take interest in “structured representations” of objects. Also, the GenAI deluge is morphing into a tsunami.

26 September 2023 : For Improving Unsupervised Visual Program Inference with Code Rewriting Families (abbreviated to Code Rewriting Families or CoReF (thanks to Kenny!)), we have released the arxiv publication and the project website. Code to be released soon.

10 August 2023 : Our Paper titled: Improving Unsupervised Visual Program Inference with Code Rewriting Families was selected as an oral presentation at ICCV 2023! Only 1.8% of the submitted papers were selected for an oral presentation. Great opportunity to get more people interested in Visual Program Inference! Code, website, paper to be released soon.

4 August 2023 : Since its the 50th SIGGRAPH, I could not miss it! Additionally, this time I am participating as a student volunteer as well. Thanks to the organizers for covering the registration cost for all volunteers!

20 June 2023 : Our Paper titled: Improving Unsupervised Visual Program Inference with Code Rewriting Families, got accepted at ICCV 2023. I wanted to exploit the malleability of symbolic representations, and this project takes a stab at that (under the setting of visual program inference). Code, website, paper to be released soon.

20 June 2023 : Our Paper titled: Skill Generalization With Verbs, got accepted at IROS 2023. This project was spearheaded by the talented Rachel Ma. My contributions were in helping craft the idea (optimizing urdf parameters to maximize verb probability with a learnt CNN) and some initial exploration with image based verb understanding.

9 May 2023 : Finished my forth semester with the following two courses: CSCI1710: Logic for Systems by Tim Nelson (implemented SAT solvers, cool final project with Arman on stable polyomino packings!) and CSCI 2951X: Reintegrating AI by George Konidaris (worked on a bootstrapped Abstraction Discovery system titled “Branching BAD”. Code to be released soon).

19 April 2023 : Our research project titled “How Biased is Your Dataset? Using VLMs to Audit Geographic Representation in Indoor Scene Datasets”, got the 1st place among exploreCSR projects at the Brown CS Research Symposium. Great work by Stefan Dodson, Morayo Adeyemi, and Daniela Galvez-Cepeda!

14 March 2023 : I defended my PhD Comps. proposal (proposed in in Spring 2022) in front of my committee (Daniel Ritchie, James Tompkin and George Konidaris) successfully! Now, I am officially a PhD candidate.

9 February 2023 : I am volunteering as a student mentor in Brown’s exploreCSR Program for [Socially-Responsible AI for Computational Creativity] (https://explorecsr.cs.brown.edu/ai/). I’ll be working with Daniel Ritchie and 4 undergraduates.

19 December 2022 : Finished my second semester with the following two courses: CSCI 2951-I: Computer Vision for Graphics and Interaction by James Tompkin (fun final project with Marc, Anh and Mikhail titled Neural Volumetric Envelopes! Code to be released soon.).

28 November 2022 : Thanks to the registration waiver, I was able to attend NeurIPS 2022 in New Orleans. I have to say I am a fan of the poster sessions!

12 October 2022 : I was selected as one of the Top Reviewers for NeurIPS 2022!

9 August 2022 : I had an amazing experience attending SIGGRAPH 2022. Thanks to Daniel Ritchie for sponsoring me!

4 July 2022 : I am participating as a reviewer in the Conference on Neural Information Processing Systems (NeurIPS-2022).

1 June 2022 : I am working as a study group leader at Brown CS’s first REU site on the topic of AI for Computational Creativity! I am accompanied by the awesome Catherine Chen, Zainab Iftikhar and Roma Patel in the quest to impart some research methods knowledge to the 8 selected undergraduates!

9 May 2022 : Finished my second semester with the following two courses: CSCI2240: Interactive Computer Graphics by Daniel Ritchie (finally wrote a path tracer, and worked on neuralSDFs for simulation!) and CSCI2952-N:Advanced Topics in Deep Learning by Chen Sun (finally got around to really reading transformers).

30 April 2022 : I worked as a head volunteer for organizing RLDM - 2022 (The Multi-disciplinary Conference on Reinforcement Learning and Decision Making) here at Brown university! Thoroughly enjoyed working with the other head volunteers: Olga Lositsky, Blossom Metevier, and Yash Shukla!

24 April 2022 : I participated as a reviewer in the NeurIPS 2023 (NeurIPS-2023).

24 April 2022 : I participated as a reviewer in the International Conference on Computer Vision 2023 (ICCV-2023).

21 April 2022 : I was selected as one of the Highlighted Reviewers for ICRL 2022!

5 February 2022 : I participated as a reviewer in the Computer Vision and Pattern Recognition Conference (CVPR-2022).

19 January 2022 : I participated as a reviewer in the Computer Vision and Pattern Recognition Conference (CVPR-2023).

19 December 2021 : Finished my first semester with the following two courses: CSCI1230: Intro to Graphics (audit) by Daniel Ritchie and CSCI2000: Research Methods by James Tompkin.

1 November 2021 : I participated as a reviewer in the International Conference on Learning Representations (ICLR-2022).

5 October 2021 : Our Paper: “Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency” will be presented at IEEE/CVF International Conference on Computer Vision (ICCV), 2021 ( ICCV-2021)! I received great mentorship from my co-authors from Toyota Research Institute ( Adrien Gaidon, Rares Ambrus, and Dennis Park) and from Preferred Networks ( Shin-ichi Maeda, and Tommi Kerola).

19 May 2021 : I will be joining Brown University as a CS PhD student from fall 2021 with professor Daniel Ritchie as my advisor at the Brown Visual Computing (BVC) Lab. Exciting times ahead!

14 May 2021 : I participated as a reviewer in the International Conference on Computer Vision (ICCV-2021).

14 April 2021 : I participated as a reviewer in the International Conference on Machine Learning (ICML-2021).

12 December 2020 : Our Paper: “Phonetroller: Visual Representations of Fingers for Precise Touch Input with Mobile Phones in VR” will be presented at ACM CHI Conference on Human Factors in Computing Systems ( CHI-2021)!

15 November 2020 : We submitted a paper to the IEEE conference on Computer Vision and Pattern Recognition ( CVPR-2021). Fingers crossed!

16 September 2020 : We submitted a paper to the ACM CHI Conference on Human Factors in Computing Systems ( CHI-2021). Fingers crossed!

2 July 2020 : I participated as a reviewer in the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS-2020). I reviewed 5 papers all in the sub-domain of Adversarial attacks and defenses.

2 July 2020 : I participated as a reviewer in the European Conference on Computer Vision (ECCV-2020). I reviewed 6 papers all in the sub-domain of Adversarial attacks and defenses.

23 January 2020 : Paper titled Meta-Learning Extractors for Music Source Separation , which proposes a hierarchical meta-learning-inspired model (Meta-TasNet) for music source separation, got accepted in ICCASP 2020!

9 December 2019 : I’ve started uploading my covers, and original compositions to instagram. If you are into guitars/ or instrumental music, do check it out!

9 November 2019 : I participated as a reviewer in the thirty-forth AAAI Conference on Artificial Intelligence (AAAI-2020). I reviewed 7 papers all in the sub-domain of Adversarial attacks and defenses.

1 October 2019 : Paper titled FDA: Feature disruptive Attack , which demonstrates a feature disruption drawback of exisitng attacks, and futher presents a attack formulation to alleviate it, got accepted in ICCV 2019!

17 June 2019 : I wrote on blog on analyzing the trends in Adversarial A&D at the IEEE Conference on Computer Vision and Pattern Recognition 2019.