
Nandita Vijaykumar
@nanditav17
Followers
169
Following
24
Media
1
Statuses
11
Assistant Professor, Department of Computer Science, University of Toronto
Toronto, Ontario
Joined October 2012
RT @VectorInst: Congrats to Vector Researchers including David Lie, @colinraffel, @florian_shkurti, Gerald Penn, @igilitschenski, @nanditav….
0
5
0
RT @UofTCompSci: Assistant professors @nanditav17 and @josephjwilliams are among @acceleration_c grant recipients whose projects aim to acc….
0
1
0
RT @janusch_patas: This is a paper I am pretty excited about as I was working some time on speeding up #3DGS training. .
0
11
0
RT @adrianz_ut: 3D Gaussian offers fast and accurate scene representations, but it is still inefficient due to atomic operations. Our work,….
0
3
0
RT @tcuarch: We are thrilled to share this insightful interview with Prof. @djimeneth at Texas A&M University! Pro….
0
3
0
RT @markcjeffrey: We (cc @carolinetrippel) congratulate the graduate and undergraduate finalists in @TheOfficialACM Student Research Compet….
0
5
0
RT @UofTCompSci: Congratulations to Assistant Professors @nanditav17 and @igilitschenski on their 2022 Sony Focused Research Award! https:/….
0
4
0
RT @atAndreasBurger: Really cool that you can transfer the lighting from one scene to another object!. Check out @RfLiang work at ICCV! . P….
0
2
0
Thrilled to share our ICCV work -- kudos to my students @RfLiang @FannChenn and our collaborators at Intel!.
As #ICCV2023 is just around the corner, I'd like to share our work. "ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting." The idea is to pre-train a color-rendering MLP used by neural fields to let it learn the rule of physically-based rendering. (1/n).
0
1
17
RT @_cgiannoula_: I will present our work "DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Memory Systems"….
0
2
0