Search Results for author: Junlin Han

Found 13 papers, 8 papers with code

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

1 code implementation27 Nov 2023 Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

Different from prior studies, we shift our focus from evaluating standard performance to introducing a comprehensive safety evaluation suite, covering both out-of-distribution (OOD) generalization and adversarial robustness.

Adversarial Robustness Visual Question Answering (VQA) +1

3D-GPT: Procedural 3D Modeling with Large Language Models

no code implementations19 Oct 2023 Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould

Our work highlights the potential of LLMs in 3D modeling, offering a basic framework for future advancements in scene generation and animation.

Scene Generation

Hyperbolic Audio-visual Zero-shot Learning

no code implementations ICCV 2023 Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Audio-visual zero-shot learning aims to classify samples consisting of a pair of corresponding audio and video sequences from classes that are not present during training.

GZSL Video Classification

NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing

no code implementations7 Dec 2022 Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould

Specifically, we use a NeRF model to generate numerous image-angle pairs to train an adjustor, which can adjust the StyleGAN latent code to generate high-fidelity stylized images for any given angle.

3D scene Editing Self-Supervised Learning

What Images are More Memorable to Machines?

1 code implementation14 Nov 2022 Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian Reid

This paper studies the problem of measuring and predicting how memorable an image is to pattern recognition machines, as a path to explore machine intelligence.

Curved Geometric Networks for Visual Anomaly Recognition

no code implementations2 Aug 2022 Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi

Learning a latent embedding to understand the underlying nature of data distribution is often formulated in Euclidean spaces with zero curvature.

Anomaly Detection Out of Distribution (OOD) Detection +1

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

1 code implementation31 May 2022 Junlin Han, Lars Petersson, Hongdong Li, Ian Reid

We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution.

Contrastive Learning

GOSS: Towards Generalized Open-set Semantic Segmentation

no code implementations23 Mar 2022 Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson

In this paper, we present and study a new image segmentation task, called Generalized Open-set Semantic Segmentation (GOSS).

Clustering Image Segmentation +2

Blind Image Decomposition

1 code implementation25 Aug 2021 Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown.

Rain Removal

Dual Contrastive Learning for Unsupervised Image-to-Image Translation

3 code implementations15 Apr 2021 Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin

Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.

Contrastive Learning Translation +1

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