1 citations · 1 across the 4 of their papers we have counts for
5 papers
ReferFlow: Beyond Final-Target Localization for Complex Referring Expressions
Tianyi Gao, Han Fang, Xin Wei +11
Multimodal Large Language Models have made significant progress in referring expression comprehension (REC), yet most REC benchmarks still focus on final-target localization. Compl…
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
Fares B. Mehouachi, Saif Eddin Jabari
We introduce FlowMixer, a single-layer neural architecture that leverages constrained matrix operations to model structured spatiotemporal patterns with enhanced interpretability.…
Catastrophic Overfitting, Entropy Gap and Participation Ratio: A Noiseless Norm Solution for Fast Adversarial Training
Fares B. Mehouachi, Saif Eddin Jabari
Adversarial training is a cornerstone of robust deep learning, but fast methods like the Fast Gradient Sign Method (FGSM) often suffer from Catastrophic Overfitting (CO), where mod…
Urban traffic analysis and forecasting through shared Koopman eigenmodes
Chuhan Yang, Fares B. Mehouachi, Monica Menendez +1
Predicting traffic flow in data-scarce cities is challenging due to limited historical data. To address this, we leverage transfer learning by identifying periodic patterns common…
Exact Stochastic Second Order Deep Learning
Fares B. Mehouachi, Chaouki Kasmi
Optimization in Deep Learning is mainly dominated by first-order methods which are built around the central concept of backpropagation. Second-order optimization methods, which tak…