8 citations · 34 across the 59 of their papers we have counts for
15 papers · 1 filter
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
Bolin Lai, Felix Juefei-Xu, Miao Liu +8
Text-guided image manipulation has experienced notable advancement in recent years. In order to mitigate linguistic ambiguity, few-shot learning with visual examples has been appli…
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
Fiona Ryan, Ajay Bati, Sangmin Lee +3
We address the problem of gaze target estimation, which aims to predict where a person is looking in a scene. Predicting a person's gaze target requires reasoning both about the pe…
Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation
Xiang Li, Zixuan Huang, Anh Thai +1
Symmetry is a ubiquitous and fundamental property in the visual world, serving as a critical cue for perception and structure interpretation. This paper investigates the detection…
Medical Video Generation for Disease Progression Simulation
Xu Cao, Kaizhao Liang, Kuei-Da Liao +7
Modeling disease progression is crucial for improving the quality and efficacy of clinical diagnosis and prognosis, but it is often hindered by a lack of longitudinal medical image…
DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
Tarik Can Ozden, Ozgur Kara, Oguzhan Akcin +4
Current image immunization defense techniques against diffusion-based editing embed imperceptible noise into target images to disrupt editing models. However, these methods face sc…
AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
Yue Wang, Xu Cao, Yaojun Hu +7
Electrocardiogram (ECG), a non-invasive and affordable tool for cardiac monitoring, is highly sensitive in detecting acute heart attacks. However, due to the lengthy nature of ECG…
Human Action Anticipation: A Survey
Bolin Lai, Sam Toyer, Tushar Nagarajan +7
Predicting future human behavior is an increasingly popular topic in computer vision, driven by the interest in applications such as autonomous vehicles, digital assistants and hum…
Towards Social AI: A Survey on Understanding Social Interactions
Sangmin Lee, Minzhi Li, Bolin Lai +8
Social interactions form the foundation of human societies. Artificial intelligence has made significant progress in certain areas, but enabling machines to seamlessly understand s…
Leveraging Object Priors for Point Tracking
Bikram Boote, Anh Thai, Wenqi Jia +4
Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics. A common failure mode in long-term point tracking occurs when the predicte…
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences
Anh Thai, Weiyao Wang, Hao Tang +3
3D object part segmentation is essential in computer vision applications. While substantial progress has been made in 2D object part segmentation, the 3D counterpart has received l…
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
Wenqian Ye, Bohan Liu, Guangtao Zheng +6
Spurious bias, a tendency to exploit spurious correlations between superficial input attributes and prediction targets, has revealed a severe robustness pitfall in classical machin…
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Xu Cao, Yifan Shen, Bolin Lai +8
Recently, Multimodal Large Language Models (MLLMs) and Vision Language Models (VLMs) have shown great promise in language-guided perceptual tasks such as recognition, segmentation,…
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
Sangmin Lee, Bolin Lai, Fiona Ryan +2
Understanding social interactions involving both verbal and non-verbal cues is essential for effectively interpreting social situations. However, most prior works on multimodal soc…
PointInfinity: Resolution-Invariant Point Diffusion Models
Zixuan Huang, Justin Johnson, Shoubhik Debnath +2
We present PointInfinity, an efficient family of point cloud diffusion models. Our core idea is to use a transformer-based architecture with a fixed-size, resolution-invariant late…
ZeroShape: Regression-based Zero-shot Shape Reconstruction
Zixuan Huang, Stefan Stojanov, Anh Thai +2
We study the problem of single-image zero-shot 3D shape reconstruction. Recent works learn zero-shot shape reconstruction through generative modeling of 3D assets, but these models…