Suhas Lohit

1.2k citations

21 papers · 681 indexed · 1 hit paper · h-index 8

Impact in

Acoustics and Ultrasonics top 5%
- Random lasers and scattering media
Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques

Papers in

Computer Vision and Pattern Recognition 14
- Human Pose and Action Recognition 4
- Image and Signal Denoising Methods 3
- Advanced Image Processing Techniques 3
- Multimodal Machine Learning Applications 3
- Generative Adversarial Networks and Image Synthesis 2
Computer Graphics and Computer-Aided Design 2

Co-authors: Pavan Turaga Kuldeep Kulkarni Ronan Kerviche Amit Ashok Qiao WangJian WangAswin C. Sankaranarayanan Hassan Mansour
Journals: Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)PubMed (2 papers)Arizona State University Library Digital Repository (Arizona State University) (1 paper)
Partner nations: United States Japan Germany

In The Last Decade

Suhas Lohit

17 papers receiving 666 citations

Hit Papers

align trajectories log scale

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements 2016 · 464 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

Peers

Countries citing papers authored by Suhas Lohit

Since Specialization

Citations

This map shows the geographic impact of Suhas Lohit's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suhas Lohit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhas Lohit more than expected).

Fields of papers citing papers by Suhas Lohit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suhas Lohit. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suhas Lohit. The network helps show where Suhas Lohit may publish in the future.

Co-authors

The 25 scholars most cited alongside Suhas Lohit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suhas Lohit Line = papers co-authored together Suhas Lohit links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models Dennler, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike‐Akino, Xiaolei Huang, Tim K. Marks	2024	5
2	Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-Aware Spatio-Temporal Sampling Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Xinhang Liu, Yu‐Wing Tai, Chi–Keung Tang, Pedro Miraldo, Suhas Lohit, Moitreya Chatterjee	2024	0
3	Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads Anoop Cherian, Suhas Lohit, Aleksandra Dopierała, Kuan–Chuan Peng, Kevin Smith, Joshua B. Tenenbaum	2024	1
4	Pixel-Grounded Prototypical Part Networks Солодков Алексей Викторович, Suhas Lohit, Anoop Cherian, Michael Jones, Walter J. Scheirer	2024	4
5	Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent Ian Tricolli, Tim K. Marks, Hassan Mansour, Suhas Lohit	2023	2
6	Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks PubMed ·Si-Hao Fan, Suhas Lohit, Rushil Anirudh, Pavan Turaga	2023	2
7	Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection Haruo Yamamori, Moitreya Chatterjee, Kuan–Chuan Peng, Suhas Lohit, Michael Jones	2023	0
8	Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Mida Mar`atus Sholihah, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike‐Akino, Vishal M. Patel, Tim K. Marks	2023	4
9	Are Deep Neural Networks SMARTer Than Second Graders? Anoop Cherian, Kuan–Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum	2023	10
10	Turnip: Time-Series U-Net With Recurrence For NIR Imaging PPG NIKOLAOS I. KARAMINAS, Tim K. Marks, Hassan Mansour, Suhas Lohit, 新司本島, Ramaneeshwaran	2021	7
11	Rate-Invariant Autoencoding of Time-Series Chuck Hooten, Suhas Lohit, Rushil Anirudh, Pavan Turaga	2020	7
12	Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit, Qiao Wang, Pavan Turaga	2019	32
13	Unrolled Projected Gradient Descent for Multi-spectral Image Fusion Suhas Lohit, Dehong Liu, Hassan Mansour, Petros T. Boufounos	2019	18
14	Rank-Regularized Measurement Operators for Compressive Imaging Suhas Lohit, 明明, Kuldeep Kulkarni, Pavan Turaga	2019	0
15	CS-VQA: Visual Question Answering with Compressively Sensed Images Sintaro Arata, Kuldeep Kulkarni, Evandro José Dionísio, Suhas Lohit, Suren Jayasuriya, Pavan Turaga	2018	8
16	Predicting Dynamical Evolution of Human Activities from a Single Image Suhas Lohit, Ankan Bansal, N. S. Wigginton, Jaishanker K. Pillai, Pavan Turaga, Rama Chellappa	2018	4
17	ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga, Ronan Kerviche, Amit Ashok Hit paper breakdown →	2016	464
18	A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer PubMed ·Qiao Wang, Suhas Lohit, Meynard John L. Toledo, Matthew P. Buman, Pavan Turaga	2016	12
19	Direct inference on compressive measurements using convolutional neural networks Suhas Lohit, Kuldeep Kulkarni, Pavan Turaga	2016	72
20	Reconstruction-free inference on compressive measurements Arizona State University Library Digital Repository (Arizona State University) ·Suhas Lohit, Kuldeep Kulkarni, Pavan Turaga, Jian Wang, Aswin C. Sankaranarayanan	2015	29

About Suhas Lohit

Suhas Lohit is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 21 papers that have together received 681 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Human Pose and Action Recognition (4 papers), Image and Signal Denoising Methods (3 papers), Time Series Analysis and Forecasting (3 papers), Advanced Image Processing Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (51 citations), Computational Mechanics (431 citations), Computer Vision and Pattern Recognition (339 citations), Signal Processing (100 citations) and Media Technology (65 citations). Suhas Lohit has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Pavan Turaga, Kuldeep Kulkarni, Ronan Kerviche, Amit Ashok, Qiao Wang, Jian Wang, Aswin C. Sankaranarayanan, Hassan Mansour, Petros T. Boufounos and Dehong Liu. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), PubMed and Arizona State University Library Digital Repository (Arizona State University).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact