2 citations · 3 across the 6 of their papers we have counts for
7 papers
IsoVRBench: Video Reward Modeling Without Human Feedback
Shuyue Stella Li, Jacqueline He, Jiahui Chen +5
Video reward models are trained and evaluated on human preferences between videos that often differ simultaneously on properties such as prompt alignment, visual fidelity, motion,…
TV2TV: A Unified Framework for Interleaved Language and Video Generation
Xiaochuang Han, Youssef Emad, Melissa Hall +15
Video generation models are rapidly advancing, but can still struggle with complex video outputs that require significant semantic branching or repeated high-level reasoning about…
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning
Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin +4
Reinforcement learning (RL)-based fine-tuning has emerged as a powerful approach for aligning diffusion models with black-box objectives. Proximal policy optimization (PPO) is a po…
BRIDLE: Generalized Self-supervised Learning with Quantization
Hoang M. Nguyen, Satya N. Shukla, Qiang Zhang +6
Self-supervised learning has been a powerful approach for learning meaningful representations from unlabeled data across various domains, reducing the reliance on large labeled dat…
Unifying Tracking and Image-Video Object Detection
Peirong Liu, Rui Wang, Pengchuan Zhang +6
Objection detection (OD) has been one of the most fundamental tasks in computer vision. Recent developments in deep learning have pushed the performance of image OD to new heights…
A Self-Supervised Descriptor for Image Copy Detection
Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra +2
Image copy detection is an important task for content moderation. We introduce SSCD, a model that builds on a recent self-supervised contrastive training objective. We adapt this m…
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin, Sreya Dutta Roy, Yixuan Li
Out-of-distribution (OOD) detection is essential to prevent anomalous inputs from causing a model to fail during deployment. While improved OOD detection methods have emerged, they…