activity
20172026
most citedObject Detection in Videos with Tubelet Proposal Networks

161 citations · 387 across the 61 of their papers we have counts for

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Showing 2024Show all

14 papers · 1 filter

cs.AI2024

EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios

Lu Qiu, Yi Chen, Yuying Ge +3

The advent of Multimodal Large Language Models, leveraging the power of Large Language Models, has recently demonstrated superior multimodal understanding and reasoning abilities,…

cs.RO2024

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos

Yi Chen, Yuying Ge, Weiliang Tang +5

Recent developments in Large Language Models pre-trained on extensive corpora have shown significant success in various natural language processing tasks with minimal fine-tuning.…

cs.CV2024

ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities

Chenming Zhu, Tai Wang, Wenwei Zhang +2

Although great progress has been made in 3D visual grounding, current models still rely on explicit textual descriptions for grounding and lack the ability to reason human intentio…

cs.LG2024

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines

ZiDong Wang, Zeyu Lu, Di Huang +4

In this paper, we introduce PredBench, a benchmark tailored for the holistic evaluation of spatio-temporal prediction networks. Despite significant progress in this field, there re…

cs.CV2024

Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images

Zhangyang Qi, Yunhan Yang, Mengchen Zhang +7

Recent advances in 3D AIGC have shown promise in directly creating 3D objects from text and images, offering significant cost savings in animation and product design. However, deta…

cs.CV2024★ 1 cited

T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

Kaiyue Sun, Kaiyi Huang, Xian Liu +4

Text-to-video (T2V) generative models have advanced significantly, yet their ability to compose different objects, attributes, actions, and motions into a video remains unexplored.…

cs.RO2024★ 1 cited

Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

Meng Wei, Chenyang Wan, Tai Wang +6

Object-oriented embodied navigation tasks require agents to locate specific objects, either defined by category or images, in unseen environments. While recent methods have made pr…

cs.CV2024★ 4 cited

GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing

Zhenyu Wang, Aoxue Li, Zhenguo Li +1

Despite the success achieved by existing image generation and editing methods, current models still struggle with complex problems including intricate text prompts, and the absence…

cs.CV2024

4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Haiyu Zhang, Xinyuan Chen, Yaohui Wang +3

Current 4D generation methods have achieved noteworthy efficacy with the aid of advanced diffusion generative models. However, these methods lack multi-view spatial-temporal modeli…

cs.CV2024★ 3 cited

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Yao Teng, Yue Wu, Han Shi +5

Diffusion models have achieved great success in image generation, with the backbone evolving from U-Net to Vision Transformers. However, the computational cost of Transformers is q…

cs.CV2024

Editing Massive Concepts in Text-to-Image Diffusion Models

Tianwei Xiong, Yue Wu, Enze Xie +2

Text-to-image diffusion models suffer from the risk of generating outdated, copyrighted, incorrect, and biased content. While previous methods have mitigated the issues on a small…

cs.CV2024

TC4D: Trajectory-Conditioned Text-to-4D Generation

Sherwin Bahmani, Xian Liu, Wang Yifan +9

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using supervision from pre-trained text-to-video models. However, existing representations for motion, such…

cs.CV2024

FiT: Flexible Vision Transformer for Diffusion Model

Zeyu Lu, Zidong Wang, Di Huang +4

Nature is infinitely resolution-free. In the context of this reality, existing diffusion models, such as Diffusion Transformers, often face challenges when processing image resolut…

cs.AI2024★ 3 cited

A Survey of Reasoning with Foundation Models

Jiankai Sun, Chuanyang Zheng, Enze Xie +31

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-world settings such as negotiation, medical diagnosis, and criminal investigation. It…