36 citations · 67 across the 11 of their papers we have counts for
11 papers
UniMPR: A Unified Framework for Multimodal Place Recognition with Heterogeneous Sensor Configurations
Zhangshuo Qi, Jingyi Xu, Luqi Cheng +3
Place recognition is a critical component of autonomous vehicles and robotics, enabling global localization in GPS-denied environments. Recent advances have spurred significant int…
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…
SLENet: A Novel Multiscale CNN-Based Network for Detecting the Rats Estrous Cycle
Qinyang Wang, Hoileong Lee, Xiaodi Pu +2
In clinical medicine, rats are commonly used as experimental subjects. However, their estrous cycle significantly impacts their biological responses, leading to differences in expe…
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…
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
Shengchen Zhu, Yiming Chen, Peiying Yu +7
Accurate weather forecasting is essential for understanding and mitigating weather-related impacts. In this paper, we present PuYun, an autoregressive cascade model that leverages…
MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
Cong Cai, Shan Liang, Xuefei Liu +11
Deception detection has garnered increasing attention in recent years due to the significant growth of digital media and heightened ethical and security concerns. It has been exten…
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…
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention
Yiming Ma, Victor Sanchez, Soodeh Nikan +3
Driver Monitoring Systems (DMSs) are crucial for safe hand-over actions in Level-2+ self-driving vehicles. State-of-the-art DMSs leverage multiple sensors mounted at different loca…
Inception-Based Crowd Counting -- Being Fast while Remaining Accurate
Yiming Ma
Recent sophisticated CNN-based algorithms have demonstrated their extraordinary ability to automate counting crowds from images, thanks to their structures which are designed to ad…
Real-Time Driver Monitoring Systems through Modality and View Analysis
Yiming Ma, Victor Sanchez, Soodeh Nikan +3
Driver distractions are known to be the dominant cause of road accidents. While monitoring systems can detect non-driving-related activities and facilitate reducing the risks, they…
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
Yiming Ma, Victor Sanchez, Tanaya Guha
State-of-the-art crowd counting models follow an encoder-decoder approach. Images are first processed by the encoder to extract features. Then, to account for perspective distortio…