Abhishek Madan @_abhishekmadan
PhD student at the University of Toronto Joined July 2022-
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I am on the job market, seeking tenure-track or industry research positions starting in 2025. My research combines human-computer interaction and robotics—please visit karthikmahadevan.ca for updated publications and CV. Feel free to reach out if interested. RT appreciated!
💼 I'm on the job market for tenure-track faculty positions or industry research scientist roles, focusing on HCI, Human-AI interaction, Creativity Support, and Educational Technology. Please reach out if hiring or aware of relevant opportunities! RT appreciated! 🧵 (1/n)
Thrilled to announce my 1st-author paper is now published in IEEE Transactions on Haptics! Whether you're exploring human tactile perception or designing vibrotactile wearable devices, this paper can be a good reference! ieeexplore.ieee.org/document/10384…
Introducing GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling The color of a splat is spatially constant, impeding use in modeling. GStex solves this at little to no cost to FPS or PSNR. Project page: lessvrong.com/cs/gstex
📢📢 Wanted to share something I've been working on - an open source library to make it dead simple to run 100s of experiments from a simple Python script / notebook (soon on remote GPUs). You can try it with `pip install haipera` and is open source! github.com/haipera/haipera
(1/n) Happy to share that our paper, "Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulations" will be presented at #SIGGRAPH2024 research.nvidia.com/labs/toronto-a…
Brain drain from Canada isn't new; but it's picking up, and it's time we did something about it. Read my piece in the @TorontoStar!
Brain drain from Canada isn't new; but it's picking up, and it's time we did something about it. Read my piece in the @TorontoStar!
1/ Happy to share our new paper "Surface-Filling Curve Flows via Implicit Medial Axes" at #SIGGRAPH2024! We introduce a fast, robust and user-controllable algorithm to compute surface-filling curves. 🐍✈️ dgp.toronto.edu/projects/surfa…
📢Our new @NVIDIAAI paper is out! I'm happy to share Compact NGP with Learned Hash Probing, which offers NeRFs that are 3.5x smaller than Instant NGP at a ~1.26x training cost and equivalent (or faster) inference speeds! 🌐: nv-tlabs.github.io/compact-ngp/ 🎥: youtube.com/watch?v=3TEry8…
Today at @SIGGRAPHAsia , I will be presenting a simple and robust method for transferring skin weights from rigged body meshes to any clothing meshes, thus helping automate the tedious process of manual weight painting. dgp.toronto.edu/~rinat/project…
Working in a lively HCI community at the vibrant heart of Singapore! SMU HCI is offering multiple fully-funded PhD positions in the fields of accessibility, visualization, human-AI interaction, AR/VR, health, and HRI. 🌐 smuhci.com More info see 🧵. RT appreciated.
Excited to present passive ultra-wideband single-photon imaging at #ICCV2023 this week! We demonstrate imaging across timescales spanning 9+ orders of magnitude—for example, in one acquisition we can capture both a spinning fan and a propagating light pulse. (1/n)
Have you seen our new work on Uncertainty Quantification in NeRFs? 🤩 Wanna know how you can do this as a ✨post-hoc✨ method on any pre-trained NeRF of your favourite architecture in matter of minutes? Here’s a high-level explanation! 🧵👇
Have you seen our new work on Uncertainty Quantification in NeRFs? 🤩 Wanna know how you can do this as a ✨post-hoc✨ method on any pre-trained NeRF of your favourite architecture in matter of minutes? Here’s a high-level explanation! 🧵👇
Realistic secondary motion automatically breathes life into rig animations... but it's super slow to compute 🐌🐢😩 Our recent work, which will be presented at #SIGGRAPH2023, proposes a subspace based on linear blend skinning to accelerate simulation!
Delighted to share the first project of my PhD, "Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction". We show unprecedented capabilities of synthesizing novel lidar scans from as few as 2 input views! 🖥️anaghmalik.com/TransientNeRF
Excited to share this recently published work on 3D printing multi-state deforming structures. In collaboration with Thomas Lumpe, Prof. Kristina Shea (edac.ethz.ch) and @mtao_graphics iopscience.iop.org/article/10.108…
Grad school deadlines are right around the corner, so I wanted to share this article again on CS grad school in Canada. yongyuanxi.medium.com/myths-about-gr… I also added some small updates based on my own experience as a grad student since then (details in thread):
monday at #uist2022, I was meant to present a demo which was sadly still in a fedex truck. instead, @estheroate and I designed+fabricated a small-scale zoetrope in ~30 hours in Bend, OR. using laser cutters and 3D printers @DIYcave, I was able to present something after all!
monday at #uist2022, I was meant to present a demo which was sadly still in a fedex truck. instead, @estheroate and I designed+fabricated a small-scale zoetrope in ~30 hours in Bend, OR. using laser cutters and 3D printers @DIYcave, I was able to present something after all! https://t.co/St8GLHgJUd
Adam works amazingly well for both ML and geometry problems. But when parameters are geometric, Adam is not rotation-equivariant and leads to artifacts. We propose a fix with "VectorAdam for Rotation Equivariant Geometry Optimization" w/ @nmwsharp @_AlecJacobson #NeurIPS22 (1/7)
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