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20212025
most citedPrediction of soft proton intensities in the near-Earth space using machine learning

9 citations · 14 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding

Tanveer Hannan, Dimitrios Mallios, Parth Pathak +5

Large Vision-Language Models (LVLMs) have demonstrated strong multimodal reasoning capabilities on long and complex documents. However, their high memory footprint makes them impra…

cs.CV2025

SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding

Tanveer Hannan, Shuaicong Wu, Mark Weber +6

A truly capable AI system must do more than detect objects or recognize activities in isolation. It must form unified, grounded representations of who is acting, what they are doin…

cs.CV2025

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction

Gengyuan Zhang, Tanveer Hannan, Hermine Kleiner +6

An ideal vision-language agent serves as a bridge between the human users and their surrounding physical world in real-world applications like autonomous driving and embodied agent…

cs.CV2024

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos

Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu +2

Large language models (LLMs) excel at retrieving information from lengthy text, but their vision-language counterparts (VLMs) face difficulties with hour-long videos, especially fo…

cs.CV2023

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos

Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl +1

Locating specific moments within long videos (20-120 minutes) presents a significant challenge, akin to finding a needle in a haystack. Adapting existing short video (5-30 seconds)…

cs.CV2023★ 2 cited

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation

Tanveer Hannan, Rajat Koner, Maximilian Bernhard +5

Recent trends in Video Instance Segmentation (VIS) have seen a growing reliance on online methods to model complex and lengthy video sequences. However, the degradation of represen…

cs.CV2022★ 3 cited

InstanceFormer: An Online Video Instance Segmentation Framework

Rajat Koner, Tanveer Hannan, Suprosanna Shit +4

Recent transformer-based offline video instance segmentation (VIS) approaches achieve encouraging results and significantly outperform online approaches. However, their reliance on…

cs.CV2022

Box Supervised Video Segmentation Proposal Network

Tanveer Hannan, Rajat Koner, Jonathan Kobold +1

Video Object Segmentation (VOS) has been targeted by various fully-supervised and self-supervised approaches. While fully-supervised methods demonstrate excellent results, self-sup…