1 citations · 1 across the 5 of their papers we have counts for
7 papers
Keepsake: Selective Spatial Memory for Long-Horizon Video Generation
Abdul Mohaimen Al Radi, Kunyang Li, Yuzhang Shang +2
Long-horizon camera-controlled video generation relies on persistent memory to maintain scene consistency. Existing systems follow two strategies to achieve this consistency. Full-…
PackCache: A Training-Free Acceleration Method for Unified Autoregressive Video Generation via Compact KV-Cache
Kunyang Li, Mubarak Shah, Yuzhang Shang
A unified autoregressive model is a Transformer-based framework that addresses diverse multimodal tasks (e.g., text, image, video) as a single sequence modeling problem under a sha…
GVD: Guiding Video Diffusion Model for Scalable Video Distillation
Kunyang Li, Jeffrey A Chan Santiago, Sarinda Dhanesh Samarasinghe +2
To address the larger computation and storage requirements associated with large video datasets, video dataset distillation aims to capture spatial and temporal information in a si…
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
Weitai Kang, Haifeng Huang, Yuzhang Shang +2
Recent advancements in 3D Large Language Models (3DLLMs) have highlighted their potential in building general-purpose agents in the 3D real world, yet challenges remain due to the…
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
Weitai Kang, Gaowen Liu, Mubarak Shah +1
Different from Object Detection, Visual Grounding deals with detecting a bounding box for each text-image pair. This one box for each text-image data provides sparse supervision si…
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
Weitai Kang, Mengxue Qu, Jyoti Kini +3
In real-life scenarios, humans seek out objects in the 3D world to fulfill their daily needs or intentions. This inspires us to introduce 3D intention grounding, a new task in 3D o…
PTQ4DiT: Post-training Quantization for Diffusion Transformers
Junyi Wu, Haoxuan Wang, Yuzhang Shang +2
The recent introduction of Diffusion Transformers (DiTs) has demonstrated exceptional capabilities in image generation by using a different backbone architecture, departing from tr…