Graduate Student Presentations

TL;DR - Key Requirements
  • Slides due exactly 1 week before your presentation date (see deadlines below)
  • Mandatory TA office hours for slides feedback: attend one week prior to your talk
  • Talk length: 15 minutes + 5 minutes Q&A (strict timing; 4 talks/day)
Deadlines at a Glance
Presentation Date Slides Due (1 week prior)
Tue, Dec 3Tue, Nov 26
Fri, Dec 5Fri, Nov 28
Tue, Dec 10Tue, Dec 3
Thu, Dec 12Thu, Dec 5
Find your exact assignment (paper, date, deadline) in the table below.
What We Want You to Learn (and Show)
  • Methodology & architecture — explain the system diagram and motivate each design choice
  • Novelty — what's truly new and why it matters
  • Limitations — be specific and evidence-based (failure cases, assumptions, compute/data constraints)
  • Improvements — concrete ideas to address those limitations
Prof. Girish's suggested questions for a compelling talk:
  1. Why is it important?
  2. Why is it hard?
  3. How is it novel?
  4. Why does it work?
Suggested Slide Outline (Target: 15 minutes)
  • Problem & motivation (tie explicitly to mobile robotics/SLAM)
  • Definitions / background (only what's needed to follow the method)
  • System diagram & architecture (reasoning for each component/choice)
  • Method details: inputs/outputs, training objectives/losses (write the equations), and why each term exists
  • Results: metrics, baselines, ablations; 2–3 key takeaways
  • Limitations (and how you'd test/mitigate them)
  • Data: collection/filtration; domain gaps and implications
  • Connection to CS498GC: how this advances mobile robotics/SLAM
Format Tips:
  • Prefer visual slides (figures, flow charts, brief bullets)
  • Aim for ≤ 4–8 short lines per slide
  • Put rich explanations in Speaker Notes
  • Practice at least twice (timed) - timing is strict with 4 talks per day
Required TA Check-in
  • Attend TA office hours exactly one week before your talk
  • Time: Wed 1:30-2:30 PM @ SC 4407
  • TA Email: ksa5@illinois.edu
  • Review slides and get feedback before final presentation
See Logistics page for more details
Grading Breakdown
  • Slides submitted on time (1 week prior)40%
  • In-class presentation (clarity, depth, timing, Q&A) — 50%
  • TA office hour check-in (1 week prior)10%

Student Assignments

# Student Name Email Paper Title Paper Link Submission Deadline Presentation Date
1 Aryan Chauhan aryanc5@illinois.edu MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors CVPR 2025 Nov 26 Dec 3 (Tue)
2 Wenzhou Ding wding8@illinois.edu Splat, Track & Map: 3D Gaussians for Dense RGB-D SLAM CVPR 2024 Nov 26 Dec 3 (Tue)
3 Karteek Gandiboyina mkg7@illinois.edu cuVSLAM: CUDA Accelerated Visual Odometry and Mapping NVIDIA arXiv Preprint Nov 26 Dec 3 (Tue)
4 Ruben Hernandez rubenjh2@illinois.edu VSS-SLAM: Voxelized Surfel Splatting for Geometrically Accurate SLAM ICRA 2025 Nov 26 Dec 3 (Tue)
5 Yangkun Liu yangkun2@illinois.edu SCE-LIO: An Enhanced Lidar Inertial Odometry by Constructing Submap Constraints IEEE RAL Nov 28 Dec 5 (Fri)
6 Sai Shiva Satwik Mallajosyula ssm27@illinois.edu DGS-SLAM: A Visual Dense SLAM Based on Gaussian Splatting in Dynamic Environments ICRA 2025 Nov 28 Dec 5 (Fri)
7 Nadeem Mohammed nadeemm2@illinois.edu FMCW-LIO: A Doppler LiDAR-Inertial Odometry IEEE RAL Nov 28 Dec 5 (Fri)
8 Keisuke Ogawa ogawa3@illinois.edu WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments CVPR 2025 Nov 28 Dec 5 (Fri)
9 Tianyu Ren tianyur2@illinois.edu DRAWER: Interactive 3D Scene Generation from a Single Image CVPR 2025 Dec 3 Dec 10 (Tue)
10 William Schafer wes6@illinois.edu GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting CVPR 2024 Dec 3 Dec 10 (Tue)
11 Yingxue Wang yingxue3@illinois.edu RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting ACM SIGGRAPH 2024 Dec 3 Dec 10 (Tue)
12 Tongmiao Xu tx21@illinois.edu Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting arXiv Preprint 2024 Dec 3 Dec 10 (Tue)
13 Hariprasad Yuvaraj yuvaraj5@illinois.edu Adaptive Mobile Manipulation for Articulated Objects In the Open World arXiv Preprint 2024 Dec 5 Dec 12 (Thu)
14 Xiayu Zhao xiayuz3@illinois.edu DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments IEEE RAL Dec 5 Dec 12 (Thu)
15 Krishna Teja Kolla vkolla2@illinois.edu Multimodal Spatial Language Maps for Robot Navigation and Manipulation IJRR 2025 Dec 5 Dec 12 (Thu)
Paper Categories Summary

All graduate students have been assigned state-of-the-art papers from CVPR 2025, SIGGRAPH 2024, ICRA 2025, and IJRR 2025, covering:

  • Visual SLAM: VSS-SLAM, DGS-SLAM, DynaVINS++
  • Neural SLAM & 3D Gaussian Splatting: WildGS-SLAM, GS-SLAM, RTG-SLAM
  • LiDAR SLAM: SCE-LIO, FMCW-LIO
  • Multimodal Language Navigation: Spatial Language Maps
  • Robotic Applications: DRAWER, Adaptive Mobile Manipulation
  • Specialized Applications: Wheat3DGS, cuVSLAM

Presentation Schedule Summary

December 3 (Tuesday)

4 Presentations:

  • Aryan Chauhan - MASt3R-SLAM
  • Wenzhou Ding - Splat, Track & Map
  • Karteek Gandiboyina - cuVSLAM
  • Ruben Hernandez - VSS-SLAM
Submission deadline: Nov 26
December 5 (Friday) + Quiz 3

4 Presentations:

  • Yangkun Liu - SCE-LIO
  • Sai Shiva Satwik - DGS-SLAM
  • Nadeem Mohammed - FMCW-LIO
  • Keisuke Ogawa - WildGS-SLAM
Submission deadline: Nov 28
December 10 (Tuesday)

4 Presentations:

  • Tianyu Ren - DRAWER
  • William Schafer - GS-SLAM
  • Yingxue Wang - RTG-SLAM
  • Tongmiao Xu - Wheat3DGS
Submission deadline: Dec 3
December 12 (Thursday) - Last Day

3 Presentations:

  • Hariprasad Yuvaraj - Adaptive Mobile Manipulation
  • Xiayu Zhao - DynaVINS++
  • Krishna Teja Kolla - Multimodal Spatial Language Maps
Submission deadline: Dec 5
Quick Links & Resources
  • Logistics (meeting times, platforms, grade distribution)
  • TA Office Hours: Wed 1:30-2:30 PM @ SC 4407
  • Questions: Use Campuswire or email ksa5@illinois.edu

If you have conflicts or accessibility needs, please reach out early via Campuswire or email.