9 citations · 13 across the 8 of their papers we have counts for
9 papers
JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence
Dingyu Yao, Junhao Zhou, Chenxu Yang +17
Many moments in the real world do not wait for a user to ask. A fire starts on a security monitor, an expression flickers across a video call, or a product a viewer wants flashes b…
AdaCodec: A Predictive Visual Code for Video MLLMs
Haowen Hou, Zhen Huang, Zheming Liang +8
Video is temporally redundant: adjacent frames usually share most objects, background, and layout. Yet existing video multimodal large language models (video MLLMs) usually encode…
SEMAG: Self-Evolutionary Multi-Agent Code Generation
Yulin Peng, Haowen Hou, Xinxin Zhu +2
Large Language Models (LLMs) have made significant progress in handling complex programming tasks. However, current methods rely on manual model selection and fixed workflows, whic…
SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding
Nianbo Zeng, Haowen Hou, Fei Richard Yu +2
Despite recent advances in retrieval-augmented generation (RAG) for video understanding, effectively understanding long-form video content remains underexplored due to the vast sca…
RWKV-UI: UI Understanding with Enhanced Perception and Reasoning
Jiaxi Yang, Haowen Hou
Existing Visual Language Modelsoften struggle with information loss and limited reasoning abilities when handling high-resolution web interfaces that combine complex visual, textua…
VisualRWKV-HD and UHD: Advancing High-Resolution Processing for Visual Language Models
Zihang Li, Haowen Hou
Accurately understanding complex visual information is crucial for visual language models (VLMs). Enhancing image resolution can improve visual perception capabilities, not only re…
Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression
Haowen Hou, Fei Ma, Binwen Bai +2
Large Language Models (LLMs) have garnered widespread attention due to their remarkable performance across various tasks. However, to mitigate the issue of hallucinations, LLMs oft…
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models
Haowen Hou, Peigen Zeng, Fei Ma +1
Visual Language Models (VLMs) have rapidly progressed with the recent success of large language models. However, there have been few attempts to incorporate efficient linear Recurr…
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Haowen Hou, F. Richard Yu
Traditional Recurrent Neural Network (RNN) architectures, such as LSTM and GRU, have historically held prominence in time series tasks. However, they have recently seen a decline i…