
Himangi Mittal
@HimangiMittal
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PhD in Robotics student at Carnegie Mellon University
Pittsburgh, Pennsylvania, USA
Joined January 2019
Checkout @tarashakhurana's work on using video diffusion models for dynamic novel view synthesis!.
Excited to share recent work with @kaihuac5 and @RamananDeva where we learn to do novel view synthesis for dynamic scenes in a self-supervised manner, only from 2D videos!. webpage: arxiv: code (soon):
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RT @WiCVworkshop: 🌐 Prof. Olga Russakovsky from Princeton University delivering a powerful keynote at #WiCV @CVPR2025 on Trustworthy (and T….
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RT @WiCVworkshop: Lots of great questions during the Q&A part of Nikhila’s talk today! 🔥 #WiCV @CVPR 2025.Room 105B.#WomeninCV
https://t.co….
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RT @WiCVworkshop: 🦸♀️ How to build an Anything Model?. The author of SAM and SAM-2, Nikhila Ravi (@nikhilaravi), is one of our amazing key….
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RT @mitts1910: 🔥Happening now! 10th Workshop on Computer Vision for Microscopy Image Analysis (CVMI) at @CVPR 2025! 📌Join us in Room 214, N….
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RT @WiCVworkshop: 🔥 Next up at #WiCV @CVPR Prof. Roni Sengupta discussing "Learning to See the Light: Foundation Models for Lighting-Awar….
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RT @WiCVworkshop: Kicking off #WiCV at @CVPR 2025 with Dr. Xiaoying Jin’s keynote on Revolutionizing Mapmaking with Perception, Language, a….
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👩💻 WiCV Workshop @CVPR 2025 is happening today!.📍Room 105B starting at 8:30 AM. Expect a morning session with a lineup of engaging talks from our invited speakers and connect with fellow women in research. #WiCV2025 #CVPR2025.
🎉 Excited for tomorrow!.Join us in Room 105B for a new, amazing edition of WiCV at @CVPR. It’s going to be a great day full of talks, invited speakers, and more!.⏰ 08:30 am.
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Checkout the amazing work in 4D scene understanding by @tarashakhurana!.
I'll be at @CVPR this week -- organizing the Workshop on 4D Vision, attending Doctoral Consortium and presenting one of our recent works (poster 174 in session 5)!. I'm also actively looking for Research Scientist roles. Happy to chat! CV is here:
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RT @FahimTajwar10: RL with verifiable reward has shown impressive results in improving LLM reasoning, but what can we do when we do not hav….
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Checkout the amazing work by @akashshrm02!.
Robots need touch for human-like hands to reach the goal of general manipulation. However, approaches today don’t use tactile sensing or use specific architectures per tactile task. Can 1 model improve many tactile tasks?.🌟Introducing Sparsh-skin: 1/6
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RT @WiCVworkshop: 🌟 We’re proud to announce Nikhila Ravi @nikhilaravi from @AIatMeta as one of the Keynote Speakers at the Women in Compute….
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RT @WiCVworkshop: 🌟 We’re thrilled to welcome Professor @SenguptRoni as a keynote speaker at #WiCV2025 at @CVPR!. 📢 Don’t miss her talk: “L….
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RT @WiCVworkshop: 💡 Join us at #WiCV2025 for an inspiring keynote by Professor @orussakovsky from Princeton University. 📢 She’ll discuss “T….
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📅 Mark your calendars for Thursday, June 12th (morning)!.Join us at #WiCV2025@CVPR for research talks, keynotes, community engagement, and inspiration! #CVPR2025.
🌟💫Save the date for the 16th edition of the Women in Computer Vision Workshop at @CVPR 2025!.Join us for a vibrant morning filled with keynotes, oral talks, posters, and more!. 📅 Thursday, June 12th (Morning).🔗 Accepted Papers:
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RT @__tm__157: What is the role of memory for modeling time dependent PDEs?. I will be at ICLR presenting our paper (Oral) where we study w….
openreview.net
Data-driven techniques have emerged as a promising alternative to traditional numerical methods for solving PDEs. For time-dependent PDEs, many approaches are Markovian---the evolution of the...
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RT @WiCVworkshop: 🙌💫 Join us: @WiCVWorkshop at #CVPR2025!. 🎙️We’re excited to announce our keynote speakers:.@SenguptRoni, @orussakovsky, X….
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Check out Hummingbird which generates high-fidelity, scene-aware, diverse images!.
🚀 Introducing Hummingbird 🐦: High-Fidelity Image Generation via Multimodal Context Alignment! 🎨✨. We’re excited to announce Hummingbird’s acceptance to ICLR 2025! 🎉 Developed during my Microsoft internship, it explores new approaches to high-fidelity image generation.
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