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Found 9 papers, 1 papers with code
UniViTAR: Unified Vision Transformer with Native Resolution
Conventional Vision Transformer simplifies visual modeling by standardizing input resolutions, often disregarding the variability of natural visual data and compromising spatial-contextual fidelity.
Unsupervised Cross-Domain Regression for Fine-grained 3D Game Character Reconstruction
Meanwhile, the game is the carrier of the metaverse, in which players can freely edit the facial appearance of the game character.
Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
We analyze whether, as the theory postulates, agents seek to escape a brutish "state of nature" by surrendering rights to an absolute sovereign in exchange for order and security.
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
RiEMann learns a manipulation task from scratch with 5 to 10 demonstrations, generalizes to unseen SE(3) transformations and instances of target objects, resists visual interference of distracting objects, and follows the near real-time pose change of the target object.
LongDanceDiff: Long-term Dance Generation with Conditional Diffusion Model
To address this, we design a conditional diffusion model, LongDanceDiff, for this sequence-to-sequence long-term dance generation, addressing the challenges of temporal coherency and spatial constraint.
Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting
Relighting an outdoor scene is challenging due to the diverse illuminations and salient cast shadows.
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation
To achieve gradient alignment, we propose Forward-Backward Cyclic Adaptation, which iteratively computes adaptation from source to target via backward hopping and from target to source via forward passing.
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
We show that existing adversarial perturbation methods are not effective to perform such an attack, especially when there are multiple faces in the input image.
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
While it can greatly increase the scope and benefits of the current security surveillance systems, performing such a task using thermal images is a challenging problem compared to face recognition task in the Visible Light Domain (VLD).
