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Found 14 papers, 3 papers with code
Generating Animated Layouts as Structured Text Representations
Despite the remarkable progress in text-to-video models, achieving precise control over text elements and animated graphics remains a significant challenge, especially in applications such as video advertisements.
CrashFixer: A crash resolution agent for the Linux kernel
In this work, we build upon kGym, which shares a benchmark for system-level Linux kernel bugs and a platform to run experiments on the Linux kernel.
Activating Self-Attention for Multi-Scene Absolute Pose Regression
Based on the statistical analysis, we reveal that queries and keys are mapped in completely different spaces while only a few keys are blended into the query region.
Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network
However, existing deep learning-based phase retrieval methods have technical limitations in generalization performance and three-dimensional (3D) morphology reconstruction from a single-shot hologram of biological cells.
Prediction-Feedback DETR for Temporal Action Detection
Temporal Action Detection (TAD) is fundamental yet challenging for real-world video applications.
Long-term Pre-training for Temporal Action Detection with Transformers
Temporal action detection (TAD) is challenging, yet fundamental for real-world video applications.
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models
In this work, we discuss evaluating video foundation models in a fair and robust manner.
Mutually-Aware Feature Learning for Few-Shot Object Counting
Few-shot object counting has garnered significant attention for its practicality as it aims to count target objects in a query image based on given exemplars without the need for additional training.
Boundary-Recovering Network for Temporal Action Detection
To this end, we propose Boundary-Recovering Network (BRN) to address the vanishing boundary problem.
FIFO-Diffusion: Generating Infinite Videos from Text without Training
We propose a novel inference technique based on a pretrained diffusion model for text-conditional video generation.
Ranked #1 on
Video Generation
on UCF-101
(FVD128 metric)
Self-Feedback DETR for Temporal Action Detection
In this paper, we point out the problem in the self-attention of DETR for TAD; the attention modules focus on a few key elements, called temporal collapse problem.
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus
Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept.
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification
In this paper, we propose self-supervised speaker representation learning strategies, which comprise of a bootstrap equilibrium speaker representation learning in the front-end and an uncertainty-aware probabilistic speaker embedding training in the back-end.
Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency
The proposed tasks enable the discriminators to learn representations of appearance and temporal context, and force the generator to synthesize videos with consistent appearance and natural flow of motions.
