I'm a Masters student at the Centre for Visual Information & Technology (CVIT), IIIT Hyderabad.

My research mainly focuses on Computer Vision, particularly Video Understanding and Vision-Language Models. I have previously completed my Bachelors of Science (BS) in Data Science & Engineering from IISER Bhopal.

News

  • 2026 🎉 Paper “SegWave: Wavelet-Driven Segmentation of Tampered Regions” accepted at the PFATCV Workshop, ECCV 2026!
  • 2026 ✈️ Selected for the CVPR BP Travel Grant and the WiCV@CVPR Travel Grant to attend CVPR 2026.
  • 2026 🎉 Our paper “RoadTones: Tone Controllable Text Generation from Road Event Videos” was accepted to the CVPR 2026 Findings track!
  • 2025 📌 Presented a poster on image tampering detection at the CV4Science Workshop, CVPR 2025.

Publications

CVPR 2026 · Findings Track

RoadTones: Tone Controllable Text Generation from Road Event Videos

Chirag Parikh, Siddhi Pravin Lipare, Dr. Ravi Kiran Sarvadevabhatla

A dataset-model-evaluation stack designed for tone-controllable text generation for road event videos.

Project Page ↗
PFATCV Workshop, ECCV 2026

SegWave: Wavelet-Driven Segmentation of Tampered Regions

Siddhi Pravin Lipare, Vishesh Kumar, Dr. Akshay Agarwal

Leveraged the use of Discrete Wavelet Transform along with a sub-band attention module to capture frequency-spatial cues to enable precise localization of tampered regions in an image.

arXiv ↗

Experience

Applied Research Fellow

CVIT, IIIT Hyderabad

May 2025 – Dec 2025
  • Designed RoadTones, a framework for tone-controllable road-video captioning — accepted at CVPR 2026 Findings and presented at the WiCV@CVPR Workshop.
  • Curated the RoadTones-51k dataset via a scalable data generation pipeline.
  • Built an evaluation stack with new metrics for factual consistency and tone alignment, benchmarking 10 state-of-the-art Video Large Language Models (Video LLMs).

Research Intern

MiRL, IIT Madras

May 2024 – Jul 2024
  • Explored super-resolution architectures for 3D medical imaging to enhance z-axis resolution across CT and MRI scans.
  • Applied GANs, diffusion models, and NeRF to improve diagnostic clarity.

Education

MS by Research, Computer Science & Engineering

IIIT Hyderabad — CVIT

Jan 2026 – Present

Bachelors of Science (BS) in Data Science & Engineering

IISER Bhopal

2021 – 2025

Projects

vLLM Inferencing for Road Videos

CVIT, IIIT Hyderabad · 2025–26

Investigated and optimized the vLLM inference pipeline for the RoadTones demo, minimizing video-quality degradation while preserving caption-generation performance.

RoadTones

CVIT · IIIT Hyderabad · 2025

Built a dataset-model-evaluation stack to enable tone-controllable video captioning (accepted at CVPR Findings 2026).

arXiv ↗

SegWave: Wavelet-Driven Segmentation of Tampered Regions

BS Thesis · TBVL, IISER Bhopal · 2025

Paired the Discrete Wavelet Transform with an Adaptive Sub-Band Attention Module to capture frequency–spatial cues for precise localization of tampered regions. Work accepted at the PFATCV Workshop, ECCV 2026.

arxiv ↗

Monocular Depth Estimation in Dim Light Road Scenes

IISER Bhopal · 2024

Added denoising and deblurring layers ahead of a DepthAnything-V2 backbone to enhance depth estimation in noisy, blurry night-time footage.

Report ↗

3D Medical Super-Resolution

MiRL, IIT Madras · 2024

Investigated GANs, Diffusion, and NeRF-based super-resolution methods to enhance z-axis resolution in CT and MRI volumes for sharper diagnostics.

Report ↗

ICU Mortality Prediction

IISER Bhopal · 2023

Binary-classification pipeline using classical supervised ML to flag critical mortality indicators for heart-failure patients admitted in ICU.

GitHub ↗

Honors & Awards

  • CVPR BP & WiCV@CVPR Travel Grants — selected to receive travel grants to attend CVPR 2026. 2026
  • ISRO Robotics Challenge — among the Top 30 teams out of 400 nationwide. 2024
  • IEEE CAS Student Design Competition — 3rd place, Asia–Pacific region; patent filed Oct 2023. 2022