activity
20192026
most citedApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients

10 citations · 19 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching

Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena +3

Flow Matching (FM) has recently emerged as a powerful approach for high-quality visual generation. However, their prohibitively slow inference due to a large number of denoising st…

cs.CV2025

Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System

Shubham Agarwal, Subrata Mitra, Saud Iqbal

Text-to-image (T2I) models have gained significant popularity. Most of these are diffusion models with unique computational characteristics, distinct from both traditional small-sc…

cs.LG2025

Prompt-Aware Scheduling for Efficient Text-to-Image Inferencing System

Shubham Agarwal, Saud Iqbal, Subrata Mitra

Traditional ML models utilize controlled approximations during high loads, employing faster, but less accurate models in a process called accuracy scaling. However, this method is…

cs.AI2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4

Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…

cs.DB2023★ 8 cited

R2D2: Reducing Redundancy and Duplication in Data Lakes

Raunak Shah, Koyel Mukherjee, Atharv Tyagi +4

Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased sto…

cs.CV2023★ 1 cited

Approximate Caching for Efficiently Serving Diffusion Models

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty +3

Text-to-image generation using diffusion models has seen explosive popularity owing to their ability in producing high quality images adhering to text prompts. However, production-…

cs.DS2022

Correlated Stochastic Knapsack with a Submodular Objective

Sheng Yang, Samir Khuller, Sunav Choudhary +2

We study the correlated stochastic knapsack problem of a submodular target function, with optional additional constraints. We utilize the multilinear extension of submodular functi…

cs.CV2019★ 10 cited

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients

Ran Xu, Rakesh Kumar, Pengcheng Wang +5

Videos take a lot of time to transport over the network, hence running analytics on the live video on embedded or mobile devices has become an important system driver. Considering…