9 citations · 22 across the 18 of their papers we have counts for
20 papers · 1 filter
Do Emotion Concepts Generalize Across Sources, Modalities, and Architectures in Vision-Language Models?
Bohao Xing, Xin Liu, Kaishen Yuan +5
Recent studies suggest that large language models encode emotion concepts as structured internal representations, but most existing work focuses on text and a single architecture.…
Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer
Bohao Xing, Deng Li, Rong Gao +2
Recently, Transformer has made significant progress in various vision tasks. To balance computation and efficiency in video tasks, recent works heavily rely on factorized or window…
Unsupervised Pelage Pattern Unwrapping for Animal Re-identification
Aleksandr Algasov, Ekaterina Nepovinnykh, Fedor Zolotarev +4
Existing individual re-identification methods often struggle with the deformable nature of animal fur or skin patterns which undergo geometric distortions due to body movement and…
EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
Bohao Xing, Xin Liu, Guoying Zhao +3
Emotion understanding is a critical yet challenging task. Recent advances in Multimodal Large Language Models (MLLMs) have significantly enhanced their capabilities in this area. H…
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
Rong Gao, Xin Liu, Zhuozhao Hu +4
Figure skating, known as the "Art on Ice," is among the most artistic sports, challenging to understand due to its blend of technical elements (like jumps and spins) and overall ar…
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection
Bohao Xing, Kaishen Yuan, Zitong Yu +2
Facial Action Units (AUs) detection is a cornerstone of objective facial expression analysis and a critical focus in affective computing. Despite its importance, AU detection faces…
Open-Set Plankton Recognition
Joona Kareinen, Annaliina Skyttä, Tuomas Eerola +5
This paper considers open-set recognition (OSR) of plankton images. Plankton include a diverse range of microscopic aquatic organisms that have an important role in marine ecosyste…
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models
Xinxu Ge, Xin Liu, Zitong Yu +4
Face anti-spoofing (FAS) plays a vital role in preventing face recognition (FR) systems from presentation attacks. Nowadays, FAS systems face the challenge of domain shift, impacti…
EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
Bohao Xing, Zitong Yu, Xin Liu +6
Facial expression recognition (FER) is an important research topic in emotional artificial intelligence. In recent decades, researchers have made remarkable progress. However, curr…
Understanding the Impact of Training Set Size on Animal Re-identification
Aleksandr Algasov, Ekaterina Nepovinnykh, Tuomas Eerola +4
Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen sci…
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
Rong Gao, Xin Liu, Bohao Xing +3
In this work, we focus on a special group of human body language -- the micro-gesture (MG), which differs from the range of ordinary illustrative gestures in that they are not inte…
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model
Deng Li, Xin Liu, Bohao Xing +4
Emotion AI is the ability of computers to understand human emotional states. Existing works have achieved promising progress, but two limitations remain to be solved: 1) Previous s…
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft +6
Plankton recognition provides novel possibilities to study various environmental aspects and an interesting real-world context to develop domain adaptation (DA) methods. Different…
Combining feature aggregation and geometric similarity for re-identification of patterned animals
Veikka Immonen, Ekaterina Nepovinnykh, Tuomas Eerola +2
Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes col…
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh +7
Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to understand the changes in th…
Towards Phytoplankton Parasite Detection Using Autoencoders
Simon Bilik, Daniel Batrakhanov, Tuomas Eerola +9
Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological impact on phytoplankton bloom dynamics. To better understand their i…
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
Ekaterina Nepovinnykh, Ilia Chelak, Tuomas Eerola +1
We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification. Access to large image volumes through camera trapping and crowdsourcing provides novel possib…
SealID: Saimaa ringed seal re-identification dataset
Ekaterina Nepovinnykh, Tuomas Eerola, Vincent Biard +4
Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. However, massive image volumes that these methods produce a…
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
Ilia Chelak, Ekaterina Nepovinnykh, Tuomas Eerola +2
In this paper, pelage pattern matching is considered to solve the individual re-identification of the Saimaa ringed seals. Animal re-identification together with the access to larg…
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process
Sahar Zafari, Mariia Murashkina, Tuomas Eerola +3
Segmentation of overlapping convex objects has various applications, for example, in nanoparticles and cell imaging. Often the segmentation method has to rely purely on edges betwe…