75 citations · 376 across the 56 of their papers we have counts for
63 papers
Generalist Open-World Temporal Perception
Cristian Sminchisescu
The next generation of artificial intelligence systems will likely be natively temporal and multimodal in both inputs and outputs: able to converse, perceive, predict, reason, and…
Video Generation Models are General-Purpose Vision Learners
Letian Wang, Chuhan Zhang, Rishabh Kabra +9
Driven by next-token prediction, NLP shifted from task-specific models into powerful generalist foundation models. What, then, is the equivalent catalyst needed to achieve a genera…
Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment
Yuda Bi, Huaiwen Zhang, Jingnan Sun +1
Protein structural ensembles from NMR spectroscopy capture biologically important conformational heterogeneity, but it remains difficult to determine whether observed variation ref…
Applications of fractional calculus in learned optimization
Teodor Alexandru Szente, James Harrison, Mihai Zanfir +1
Fractional gradient descent has been studied extensively, with a focus on its ability to extend traditional gradient descent methods by incorporating fractional-order derivatives.…
Instant 3D Human Avatar Generation using Image Diffusion Models
Nikos Kolotouros, Thiemo Alldieck, Enric Corona +2
We present AvatarPopUp, a method for fast, high quality 3D human avatar generation from different input modalities, such as images and text prompts and with control over the genera…
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros +3
We present DiffHuman, a probabilistic method for photorealistic 3D human reconstruction from a single RGB image. Despite the ill-posed nature of this problem, most methods are dete…