activity
20172025
most citedThe "something something" video database for learning and evaluating visual common sense

4 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2025

PuzzleCraft: Exploration-Aware Curriculum Learning for Puzzle-Based RLVR in VLMs

Ahmadreza Jeddi, Hakki Can Karaimer, Hue Nguyen +8

RL post-training with verifiable rewards (RLVR) has become a practical route to eliciting chain-of-thought reasoning in vision--language models (VLMs), but scaling it in the visual…

cs.CV2025

Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution

Weiming Ren, Raghav Goyal, Zhiming Hu +3

Generative super-resolution (GSR) currently sets the state-of-the-art in terms of perceptual image quality, overcoming the "regression-to-the-mean" blur of prior non-generative mod…

cs.CV2024

Extending Video Masked Autoencoders to 128 frames

Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal +8

Video understanding has witnessed significant progress with recent video foundation models demonstrating strong performance owing to self-supervised pre-training objectives; Masked…

cs.CV2023

TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking

Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam +1

Video Object Segmentation (VOS) has emerged as an increasingly important problem with availability of larger datasets and more complex and realistic settings, which involve long vi…

cs.CV2020

UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation

Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal

Methods for object detection and segmentation rely on large scale instance-level annotations for training, which are difficult and time-consuming to collect. Efforts to alleviate t…

cs.CV20201 cited

Ensemble based discriminative models for Visual Dialog Challenge 2018

Shubham Agarwal, Raghav Goyal

This manuscript describes our approach for the Visual Dialog Challenge 2018. We use an ensemble of three discriminative models with different encoders and decoders for our final su…