Chandan Yeshwanth

According to our database, Chandan Yeshwanth authored at least 7 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset.

Olaf Wysocki, Benedikt Schwab, Manoj Kumar Biswanath, Michael Greza, Qilin Zhang, Jingwei Zhu, Thomas Froech, Medhini Heeramaglore, Ihab Hijazi, Khaoula Kanna, Mathias Pechinger, Zhaiyu Chen, Yao Sun, Alejandro Rueda Segura, Ziyang Xu, Omar AbdelGafar, Mansour Mehranfar, Chandan Yeshwanth, Yueh-Cheng Liu, Hadi Yazdi, Jiapan Wang, Stefan Auer, Katharina Anders, Klaus Bogenberger, André Borrmann, Angela Dai, Ludwig Hoegner, Christoph Holst, Thomas H. Kolbe, Ferdinand Ludwig, Matthias Nießner, Frank Petzold, Xiao Xiang Zhu, Boris Jutzi

CoRR, May, 2025

ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail.

Chandan Yeshwanth, Dávid Rozenberszki, Angela Dai

CoRR, March, 2025

2023

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes.

Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Directional Message Passing on Molecular Graphs via Synthetic Coordinates.

Johannes Gasteiger, Chandan Yeshwanth, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SceneFormer: Indoor Scene Generation with Transformers.

Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner

Proceedings of the International Conference on 3D Vision, 2021

2019

Comparative Study on various Losses for Vehicle Re-identification.

Adithya Shankar, Akhil Poojary, Varghese Kollerathu, Chandan Yeshwanth, Sheetal Reddy, Vinay Sudhakaran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Distributed Approximation Algorithms for the Multiple Knapsack Problem.

Ananth Murthy, Chandan Yeshwanth, Shrisha Rao

CoRR, 2017