2 citations · 3 across the 5 of their papers we have counts for
6 papers
TransGOP: Transformer-Based Gaze Object Prediction
Binglu Wang, Chenxi Guo, Yang Jin +2
Gaze object prediction aims to predict the location and category of the object that is watched by a human. Previous gaze object prediction works use CNN-based object detectors to p…
Multi-granularity Backprojection Transformer for Remote Sensing Image Super-Resolution
Jinglei Hao, Wukai Li, Binglu Wang +4
Backprojection networks have achieved promising super-resolution performance for nature images but not well be explored in the remote sensing image super-resolution (RSISR) field d…
CORE: Cooperative Reconstruction for Multi-Agent Perception
Binglu Wang, Lei Zhang, Zhaozhong Wang +2
This paper presents CORE, a conceptually simple, effective and communication-efficient model for multi-agent cooperative perception. It addresses the task from a novel perspective…
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution
Yuting Lu, Lingtong Min, Binglu Wang +4
Remote sensing image super-resolution (RSISR) plays a vital role in enhancing spatial detials and improving the quality of satellite imagery. Recently, Transformer-based models hav…
Learning Pixel-Adaptive Weights for Portrait Photo Retouching
Binglu Wang, Chengzhe Lu, Dawei Yan +1
Portrait photo retouching is a photo retouching task that emphasizes human-region priority and group-level consistency. The lookup table-based method achieves promising retouching…
GaTector: A Unified Framework for Gaze Object Prediction
Binglu Wang, Tao Hu, Baoshan Li +2
Gaze object prediction is a newly proposed task that aims to discover the objects being stared at by humans. It is of great application significance but still lacks a unified solut…