activity
20192025
most citedIn Situ Cane Toad Recognition

8 citations · 17 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

JRDB-Reasoning: A Difficulty-Graded Benchmark for Visual Reasoning in Robotics

Simindokht Jahangard, Mehrzad Mohammadi, Yi Shen +2

Recent advances in Vision-Language Models (VLMs) and large language models (LLMs) have greatly enhanced visual reasoning, a key capability for embodied AI agents like robots. Howev…

cs.CV2025

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning

Zhixi Cai, Fucai Ke, Simindokht Jahangard +4

Visual Grounding (VG) tasks, such as referring expression detection and segmentation tasks are important for linking visual entities to context, especially in complex reasoning tas…

cs.CV2024

JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups

Simindokht Jahangard, Zhixi Cai, Shiki Wen +1

Understanding human social behaviour is crucial in computer vision and robotics. Micro-level observations like individual actions fall short, necessitating a comprehensive approach…

cs.CV2024

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

Fucai Ke, Zhixi Cai, Simindokht Jahangard +3

Recent advances in visual reasoning (VR), particularly with the aid of Large Vision-Language Models (VLMs), show promise but require access to large-scale datasets and face challen…

cs.CV2023

Real-time Trajectory-based Social Group Detection

Simindokht Jahangard, Munawar Hayat, Hamid Rezatofighi

Social group detection is a crucial aspect of various robotic applications, including robot navigation and human-robot interactions. To date, a range of model-based techniques have…

cs.CV2021

Predicting Driver Intention Using Deep Neural Network

Mahdi Bonyani, Mina Rahmanian, Simindokht Jahangard

To improve driving safety and avoid car accidents, Advanced Driver Assistance Systems (ADAS) are given significant attention. Recent studies have focused on predicting driver inten…

cs.CV2020★ 1 cited

Persian Handwritten Digit, Character and Word Recognition Using Deep Learning

Mehdi Bonyani, Simindokht Jahangard, Morteza Daneshmand

Digit, letter and word recognition for a particular script has various applications in todays commercial contexts. Nevertheless, only a limited number of relevant studies have deal…

cs.CV2019★ 8 cited

In Situ Cane Toad Recognition

Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf

Cane toads are invasive, toxic to native predators, compete with native insectivores, and have a devastating impact on Australian ecosystems, prompting the Australian government to…