7 citations · 7 across the 9 of their papers we have counts for
9 papers
Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study
Fanqi Wang, Weisheng Tang, Hairong Qi
Modern deep networks are trained through long update trajectories, yet their temporal organization remains less systematically characterized than architectures, losses, or optimize…
ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling
Konstantinos Georgiou, Maofeng Tang, Hairong Qi
Multi-objective masked image modeling (MIM) combines complementary learning signals (token distillation, CLS alignment, and pixel reconstruction) but existing methods weight these…
Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning
Qiaoyi Yang, Chaoyi Zhou, Xi Liu +9
Accurate Digital Surface Model (DSM) reconstruction from satellite imagery is critical for applications such as disaster response, urban planning, and large-scale geographic mappin…
Looking into a Pixel by Nonlinear Unmixing -- A Generative Approach
Maofeng Tang, Hairong Qi
Due to the large footprint of pixels in remote sensing imagery, hyperspectral unmixing (HU) has become an important and necessary procedure in hyperspectral image analysis. Traditi…
MEDiC: Multi-objective Exploration of Distillation from CLIP
Konstantinos Georgiou, Maofeng Tang, Hairong Qi
Masked image modeling (MIM) methods typically operate in either raw pixel space (reconstructing masked patches) or latent feature space (aligning with a pre-trained teacher). We pr…
FujiView: Multimodal Late-Fusion for Predicting Scenic Visibility
Bryceton Bible, Shah Md Nehal Hasnaeen, Hairong Qi
Visibility of natural landmarks such as Mount Fuji is a defining factor in both tourism planning and visitor experience, yet it remains difficult to predict due to rapidly changing…
KIPPO: Koopman-Inspired Proximal Policy Optimization
Andrei Cozma, Landon Harris, Hairong Qi
Reinforcement Learning (RL) has made significant strides in various domains, and policy gradient methods like Proximal Policy Optimization (PPO) have gained popularity due to their…
Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structures
Andrei Cozma, Landon Harris, Hairong Qi +3
This paper introduces a robust approach for automated defect detection in tire X-ray images by harnessing traditional feature extraction methods such as Local Binary Pattern (LBP)…
Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing
Maofeng Tang, Andrei Cozma, Konstantinos Georgiou +1
Remote sensing images present unique challenges to image analysis due to the extensive geographic coverage, hardware limitations, and misaligned multi-scale images. This paper revi…