Gen4D: Synthesizing Humans and Scenes in the Wild
Lack of input data for in-the-wild activities often results in low performance across various computer vision tasks. This challenge is particularly pronounced in uncommon human-centric domains...
Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos
Player identification is a crucial component in vision-driven soccer analytics, enabling various downstream tasks such as player assessment, in-game analysis, and broadcast production. However,...
DreamPose3D: Hallucinative Diffusion with Prompt Learning for 3D Human Pose Estimation
Accurate 3D human pose estimation remains a critical yet unresolved challenge, requiring both temporal coherence across frames and fine-grained modeling of joint relationships. However, most...
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
Using videos to analyze pitchers in baseball can play a vital role in strategizing and injury prevention. Computer vision-based pose analysis offers a time-efficient and cost-effective approach....
PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics
In the high-stakes world of baseball, every nuance of a pitcher's mechanics holds the key to maximizing performance and minimizing runs. Traditional analysis methods often rely on pre-recorded...
Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery
Precise Human Mesh Recovery (HMR) with in-the-wild data is a formidable challenge and is often hindered by depth ambiguities and reduced precision. Existing works resort to either pose priors or...
Ice Hockey Puck Localization Using Contextual Cues
Puck detection in ice hockey broadcast videos poses significant challenges due to the puck's small size, frequent occlusions, motion blur, broadcast artifacts, and scale inconsistencies due to...
Domain-Guided Masked Autoencoders for Unique Player Identification
Unique player identification is a fundamental module in vision-driven sports analytics. Identifying players from broadcast videos can aid with various downstream tasks such as player assessment,...
ME-CapsNet: A Multi-Enhanced Capsule Networks with Routing Mechanism
Convolutional Neural Networks need the construction of informative features, which are determined by channel-wise and spatial-wise information at the network's layers. In this research, we focus...
WildHSR: Metric Feed-Forward 4D People-Scene Reconstruction from a 3D Foundation Model
3D foundation models recover video cameras and geometry in one forward pass, but some of the strongest are up to scale. Joint people-scene reconstruction then requires two missing outputs: metric...
Position Paper: New Views of Shots - Towards Measures of Net Visibility and Reachability
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports
Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
CoGS: Compositional Dynamic Human-Object Scenes Gaussian Splatting from Monocular Video
Reconstructing dynamic human--object interaction scenes from monocular video is difficult because the human, manipulated object, and background obey different motion models while sharing the same...