9 citations · 10 across the 6 of their papers we have counts for
6 papers
OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation
Victor Sanchez, Chris Reinke, Ahamed Mohamed +1
In this paper, we introduce OpenSocInt, an open-source software package providing a simulator for multi-modal social interactions and a modular architecture to train social agents.…
ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
Yiming Ma, Victor Sanchez, Tanaya Guha
Most crowd counting methods directly regress blockwise density maps using Mean Squared Error (MSE) losses. This practice has two key limitations: (1) it fails to account for the ex…
Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions
Tongfei Bian, Yiming Ma, Mathieu Chollet +2
For efficient human-agent interaction, an agent should proactively recognize their target user and prepare for upcoming interactions. We formulate this challenging problem as the n…
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention
Shuai Shao, Yu Guan, Victor Sanchez
Human Activity Recognition (HAR) has become increasingly popular with ubiquitous computing, driven by the popularity of wearable sensors in fields like healthcare and sports. While…
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting
Olly Styles, Sam Miller, Patricio Cerda-Mardini +3
We introduce WorkBench: a benchmark dataset for evaluating agents' ability to execute tasks in a workplace setting. WorkBench contains a sandbox environment with five databases, 26…
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
Yiming Ma, Victor Sanchez, Tanaya Guha
We propose CLIP-EBC, the first fully CLIP-based model for accurate crowd density estimation. While the CLIP model has demonstrated remarkable success in addressing recognition task…