8 citations · 17 across the 10 of their papers we have counts for
11 papers
A Multi-Modal Neuro-Symbolic Approach for Spatial Reasoning-Based Visual Grounding in Robotics
Simindokht Jahangard, Mehrzad Mohammadi, Abhinav Dhall +1
Visual reasoning, particularly spatial reasoning, is a challenging cognitive task that requires understanding object relationships and their interactions within complex environment…
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…
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…
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…
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…
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…
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi
Accurate segmentation of the vertebra is an important prerequisite in various medical applications (E.g. tele surgery) to assist surgeons. Following the successful development of d…
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…
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…
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi
Purpose: Manual medical image segmentation is an exhausting and time-consuming task along with high inter-observer variability. In this study, our objective is to improve the multi…
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…