Byeongho Heo PRO

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authored a paper 5 months ago

Exploring Conditions for Diffusion models in Robotic Control

Paper • 2510.15510 • Published Oct 17, 2025 • 40

authored 7 papers 6 months ago

Learning with Unmasked Tokens Drives Stronger Vision Learners

Paper • 2310.13593 • Published Oct 20, 2023

Learning Features with Parameter-Free Layers

Paper • 2202.02777 • Published Feb 6, 2022

Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images

Paper • 2311.18540 • Published Nov 30, 2023

Similarity of Neural Architectures using Adversarial Attack Transferability

Paper • 2210.11407 • Published Oct 20, 2022

DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias

Paper • 2502.08167 • Published Feb 12, 2025 • 1

Masking meets Supervision: A Strong Learning Alliance

Paper • 2306.11339 • Published Jun 20, 2023

RL makes MLLMs see better than SFT

Paper • 2510.16333 • Published Oct 18, 2025 • 49

authored 3 papers 9 months ago

What Do Self-Supervised Vision Transformers Learn?

Paper • 2305.00729 • Published May 1, 2023

Group Generalized Mean Pooling for Vision Transformer

Paper • 2212.04114 • Published Dec 8, 2022

Token Bottleneck: One Token to Remember Dynamics

Paper • 2507.06543 • Published Jul 9, 2025 • 20

authored 9 papers over 1 year ago

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation

Paper • 2411.19067 • Published Nov 28, 2024 • 8

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models

Paper • 2407.12863 • Published Jul 12, 2024 • 1

SeiT++: Masked Token Modeling Improves Storage-efficient Training

Paper • 2312.10105 • Published Dec 15, 2023

Rethinking Channel Dimensions for Efficient Model Design

Paper • 2007.00992 • Published Jul 2, 2020 • 1

Rethinking Spatial Dimensions of Vision Transformers

Paper • 2103.16302 • Published Mar 30, 2021 • 1

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage

Paper • 2303.11114 • Published Mar 20, 2023

ViDT: An Efficient and Effective Fully Transformer-based Object Detector

Paper • 2110.03921 • Published Oct 8, 2021 • 1

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Paper • 2006.08217 • Published Jun 15, 2020

Scratching Visual Transformer's Back with Uniform Attention

Paper • 2210.08457 • Published Oct 16, 2022