Bo Dong
36 papers · 2014–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bo Dong?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xin Yang, Felix Heide, Pieter Peers
13 papers
· 2014–2026
· CVPR, AAAI, ICCV
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Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
AAAI 2026
View-on-Graph: Zero-Shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs
AAAI 2026
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
AAAI 2025
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
IJCAI 2024
Multi-view Spectral Polarization Propagation for Video Glass Segmentation
ICCV 2023
Single Depth-image 3D Reflection Symmetry and Shape Prediction
ICCV 2023
All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines
ECCV 2022
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
NeurIPS 2022
Glass Segmentation Using Intensity and Spectral Polarization Cues
CVPR 2022
Spiking Transformers for Event-Based Single Object Tracking
CVPR 2022
Depth-Aware Mirror Segmentation
CVPR 2021
Object Tracking by Jointly Exploiting Frame and Event Domain
ICCV 2021
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo
CVPR 2014
4 papers whose co-authors appear nowhere else under this name
Compressing Context to Enhance Inference Efficiency of Large Language Models
EMNLP 2023
Dichotomous Image Segmentation with Frequency Priors
IJCAI 2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
AAAI 2023
CML: A Contrastive Meta Learning Method to Estimate Human Label Confidence Scores and Reduce Data Collection Cost
ACL 2022